A Survey of Clustering Data Mining Techniques

No abstract is available for this paper.

• Publication year

  2006

• Venue

  Grouping Multidimensional Data

• Publication date

  Unknown publication date

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/3-540-28349-8_2
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• How many clusters

  2008cited by this paper
• The Power of Word Clusters for Text Classification

  2006cited by this paper
• Introduction to Statistical Pattern Recognition

  2006influential reference
• Elements of Information Theory

  2005influential reference
• Spatial Data Mining

  2005cited by this paper
• On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality

  2004cited by this paper
• Feature Weighting in k-Means Clustering

  2003cited by this paper
• Probabilistic Models in Partitional Cluster Analysis

  2003cited by this paper
• Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data

  2003cited by this paper
• Refining clusters in high dimensional text data

  2003cited by this paper
• Cluster Selection in Divisive Clustering Algorithms

  2002cited by this paper
• Data Mining - Concepts and Techniques

  2002influential reference
• A genetic rule-based data clustering toolkit

  2002cited by this paper
• Cluster Analysis

  2002cited by this paper
• Enhanced word clustering for hierarchical text classification

  2002cited by this paper
• Comparing Clusterings

  2002cited by this paper
• Learning Simple Relations: Theory and Applications

  2002influential reference
• On Scaling Up Balanced Clustering Algorithms

  2002influential reference
• On the performance of bisecting K-means and PDDP

  2001cited by this paper
• On the Surprising Behavior of Distance Metrics in High Dimensional Spaces

  2001cited by this paper
• Criterion Functions for Document Clustering ∗ Experiments and Analysis

  2001cited by this paper
• Adaptive Grids for Clustering Massive Data Sets

  2001cited by this paper
• Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction

  2001cited by this paper
• Data bubbles: quality preserving performance boosting for hierarchical clustering

  2001cited by this paper
• Generalized K-Harmonic Means - Dynamic Weighting of Data in Unsupervised Learning

  2001cited by this paper
• Decomposition of Event Sequences into Independent Components

  2001cited by this paper
• Robust space transformations for distance-based operations

  2001cited by this paper
• A min-max cut algorithm for graph partitioning and data clustering

  2001cited by this paper
• Mining time-changing data streams

  2001cited by this paper
• Visualizing multi-dimensional clusters, trends, and outliers using star coordinates

  2001cited by this paper
• A robust and scalable clustering algorithm for mixed type attributes in large database environment

  2001cited by this paper
• Application of Matrix Clustering to Web Log Analysis and Access Prediction

  2001cited by this paper
• A non-parametric approach to web log analysis

  2001cited by this paper
• Spatial clustering in the presence of obstacles

  2001cited by this paper
• Efficient Clustering of Very Large Document Collections

  2001cited by this paper
• Co-clustering documents and words using bipartite spectral graph partitioning

  2001cited by this paper
• Spatial clustering methods in data mining : A survey

  2001influential reference
• Spectral relaxation models and structure analysis for K-way graph clustering and bi-clustering

  2001cited by this paper
• Clustering Algorithms for Spatial Databases: A Survey

  2001influential reference
• On Spectral Clustering: Analysis and an algorithm

  2001cited by this paper
• A scalable algorithm for clustering sequential data

  2001cited by this paper
• Generalized clustering, supervised learning, and data assignment

  2001cited by this paper
• Locally adaptive dimensionality reduction for indexing large time series databases

  2001influential reference
• Ensemble-index: a new approach to indexing large databases

  2001influential reference
• Constraint-based clustering in large databases

  2001cited by this paper
• Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases

  2001influential reference
• Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering

  2001cited by this paper
• Model selection for probabilistic clustering using cross-validated likelihood

  2000cited by this paper
• Automating exploratory data analysis for efficient data mining

  2000cited by this paper
• Efficient clustering of high-dimensional data sets with application to reference matching

  2000cited by this paper
• Clustering Categorical Data

  2000cited by this paper
• Small is beautiful: discovering the minimal set of unexpected patterns

  2000cited by this paper
• A Comparison of Document Clustering Techniques

  2000influential reference
• Using the fractal dimension to cluster datasets

  2000cited by this paper
• Dynamic partitional clustering using evolution strategies

  2000influential reference
• Constrained K-Means Clustering

  2000cited by this paper
• Clustering through decision tree construction

  2000cited by this paper
• AMOEBA: HIERARCHICAL CLUSTERING BASED ON SPATIAL PROXIMITY USING DELAUNATY DIAGRAM

  2000influential reference
• X-means: Extending K-means with Efficient Estimation of the Number of Clusters

  2000influential reference
• Document clustering using word clusters via the information bottleneck method

  2000cited by this paper
• Clustering categorical data: an approach based on dynamical systems

  2000influential reference
• On clusterings-good, bad and spectral

  2000cited by this paper
• Efficient algorithms for mining outliers from large data sets

  2000cited by this paper
• The information bottleneck method

  2000cited by this paper
• Concept Indexing: A Fast Dimensionality Reduction Algorithm With Applications to Document Retrieval and Categorization

  2000cited by this paper
• A S alable Approa h to Balan ed, High-dimensional Clustering of Market-baskets

  2000cited by this paper
• Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support

  2000cited by this paper
• Identification of Web User Traffic Composition using Multi-Modal Clustering and Information Scent

  2000cited by this paper
• Finding generalized projected clusters in high dimensional spaces

  2000influential reference
• A General Probabilistic Framework for Clustering Individuals

  2000cited by this paper
• LOF: identifying density-based local outliers

  2000cited by this paper
• Efficient Algorithms For Normalized Edit Distance

  2000cited by this paper
• A cluster algorithm for graphs

  2000cited by this paper
• Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering

  1999influential reference
• A Data-Clustering Algorithm on Distributed Memory Multiprocessors

  1999cited by this paper
• Multicommodity max-flow min-cut theorems and their use in designing approximation algorithms

  1999cited by this paper
• When Is ''Nearest Neighbor'' Meaningful?

  1999cited by this paper
• Accelerating exact k-means algorithms with geometric reasoning

  1999influential reference
• Fast and effective text mining using linear-time document clustering

  1999influential reference
• Clustering with a genetically optimized approach

  1999cited by this paper
• Probabilistic Model-Based Clustering of Multivariate and Sequential Data

  1999cited by this paper
• CACTUS—clustering categorical data using summaries

  1999cited by this paper
• An Analysis of Recent Work on Clustering Algorithms

  1999cited by this paper
• Multilevel Refinement for Hierarchical Clustering

  1999cited by this paper
• Fast algorithms for projected clustering

  1999cited by this paper
• Chameleon: Hierarchical Clustering Using Dynamic Modeling

  1999influential reference
• OPTICS: ordering points to identify the clustering structure

  1999cited by this paper
• Data clustering: a review

  1999influential reference
• C HAMELEON : A Hierarchical Clustering Algorithm Using Dynamic Modeling

  1999cited by this paper
• Squashing flat files flatter

  1999cited by this paper
• STING+: an approach to active spatial data mining

  1999cited by this paper
• Entropy-based subspace clustering for mining numerical data

  1999cited by this paper
• Unexpectedness as a measure of interestingness in knowledge discovery

  1999cited by this paper
• A new method for similarity indexing of market basket data

  1999cited by this paper
• Clustering large datasets in arbitrary metric spaces

  1999cited by this paper
• ROCK: a robust clustering algorithm for categorical attributes

  1999influential reference
• Clustering Gene Expression Patterns

  1999cited by this paper
• Understanding search engines: mathematical modeling and text retrieval (software

  1999cited by this paper
• Distributional clustering of words for text classification

  1998cited by this paper
• Refining Initial Points for K-Means Clustering

  1998cited by this paper

• Optimizing China's regional power generation structure for cost-effective emission reduction: A multi-scenario analysis integrating CCUS and policy pathways

  2026cites this paper
• Unsupervised Identification of Post-Rainfall Behavior in a Medium Reservoir Using Feature-Engineered Clustering

  2026cites this paper
• Exploring the limits of pre-trained embeddings in machine-guided protein design: a case study on predicting AAV vector viability

  2026influential citation
• Initializing K-means clustering algorithm based on frequent patterns

  2026cites this paper
• CDBC: Continuous Distribution-based Clustering for High-Dimensional Data Streams

  2025cites this paper
• Discovering customer segments through interaction behaviors for home appliance business

  2025cites this paper
• An Enhanced Model-based Approach for Short Text Clustering

  2025cites this paper
• Integrating Enhanced Clustering Algorithms and Ensemble Techniques for Bigdata

  2025cites this paper
• Enhanced single-cell RNA-seq embedding through gene expression and data-driven gene-gene interaction integration

  2025cites this paper
• Contextual Deep Reinforcement Learning with Adaptive Value-based Clustering

  2025cites this paper
• A novel clustering algorithm for categorical data with MGR based reference set selection method

  2025cites this paper
• Review of malicious code detection in data mining applications: challenges, algorithms, and future direction

  2025cites this paper
• Optimizing water management: Identifying strategies to enhance irrigation efficiency under drought conditions.

  2025cites this paper
• A new methodology for sub‐femtomolar detection of organic molecules through the combination of surface‐enhanced Raman spectroscopy and a superhydrophobic fluidic concentrator

  2025cites this paper
• Heuristic-machine learning models for solar radiation forecasting in Köppen climate zones

  2025cites this paper
• Fuzzified Clustering and Sample Reduction for Intelligent High Performance Distributed Classification of Heterogeneous Uncertain Big Data

  2025cites this paper
• A critical systematic review of machine learning based models for water leak detection using vibroacoustic technology

  2025cites this paper
• Brain-Inspired Perspective on Configurations: Unsupervised Similarity and Early Cognition

  2025cites this paper
• Integrating collision avoidance strategies into multi-robot task allocation for inspection

  2025cites this paper
• Quantifying Group Fairness in Community Detection

  2025cites this paper
• An Analysis of Data Quality and Time Resolution in Clustering Based on Polish Prosumer Real World Data

  2025cites this paper
• Cart KNN: A hybrid distance-based pre-pruned classification and regression method for the early diagnosis of Alzheimer’s disease

  2025cites this paper
• High-resolution 4D electrical resistivity tomography and below-ground point sensor monitoring of High Arctic deglaciated sediments capture zero-curtain effects, freeze–thaw transitions, and mid-winter thawing

  2025cites this paper
• Visual Extraction of Interaction Patterns Guided by Hierarchical Clustering and Process Mining

  2025cites this paper
• Multimodal destination image and user engagement: a sequential research design

  2025cites this paper
• Node clustering in complex networks based on structural similarity

  2025cites this paper
• Nested Gaussian mixture model: clustering data from generalized mixture distributions

  2025cites this paper
• Novel Multimodal Imaging System for High-Resolution and High-Contrast Tissue Segmentation Based on Chemical Properties

  2025influential citation
• An interactive approach for group-based event log exploration

  2025cites this paper
• Evaluating BERTopic on Open-Ended Data: A Case Study with Belgian Dutch Daily Narratives

  2025cites this paper
• Volunteer Management: A Data Mining Approach

  2025cites this paper
• Deep learning-based detection of internal defect types and their grades in high-pressure aluminum castings

  2024cites this paper
• coiTAD: Detection of Topologically Associating Domains Based on Clustering of Circular Influence Features from Hi-C Data

  2024cites this paper
• Enhancing operational research in mechatronic systems via modularization: comparative analysis of four clustering algorithms using validation indices

  2024cites this paper
• Bill-of-materials visualization for aerospace & defense: A digital transformation retrospective

  2024cites this paper
• Unsupervised Deep Embedding for Fuzzy Clustering

  2024cites this paper
• On the Complexity of the Problem of Choice of Large Clusters

  2024cites this paper
• Knowledge Extraction in Additive Manufacturing: a Formal Concept Analysis Approach

  2024cites this paper
• Intelligent Web Mining Technique using Sequential Pattern

  2024cites this paper
• Generation of nighttime pedestrian fatal precrash scenarios at junctions in Tamil Nadu, India, using cluster correspondence analysis

  2024cites this paper
• Study on the Webpage properties and prediction using Google.

  2024cites this paper
• Fast main density peak clustering within relevant regions via a robust decision graph

  2024cites this paper
• Mining the sustainability of takeaway businesses in online food delivery service supply chain

  2024cites this paper
• Cluster Metric Sensitivity to Irrelevant Features

  2024cites this paper
• Penerapan Metode CLARA dalam Pengelompokan Indeks Pembangunan Manusia Kabupaten/Kota Provinsi Sulawesi Selatan

  2024cites this paper
• ON THE PROBLEM OF CONTROL THE RELIABILITY OF AN INFORMATION SYSTEM UNDER CONDITIONS OF INTERVAL UNCERTAINTY

  2024cites this paper
• Fast <inline-formula><tex-math notation="LaTeX">$K$</tex-math></inline-formula>-Medoids With the <inline-formula><tex-math notation="LaTeX">$l_{1}$</tex-math></inline-formula>-Norm

  2024cites this paper
• A Rapid Review of Clustering Algorithms

  2024cites this paper
• Unsupervised learning and natural language processing highlight research trends in a superbug

  2024cites this paper
• Customer Segmentation With K-Means Clustering Suzuki Mobil Bandung Customer Case Study

  2024cites this paper
• Development and Validation of KRT Knowledge Instrument

  2024cites this paper
• Early Detection of Alzheimer's Disease Using Artificial Intelligence

  2024cites this paper
• Assessment of the real‐time pattern recognition capability of machine learning algorithms

  2024cites this paper
• Improved Space-Efficient Approximate Nearest Neighbor Search Using Function Inversion

  2024cites this paper
• Self-adaptive two-stage density clustering method with fuzzy connectivity

  2024cites this paper
• Machine learning applications in the resilience of interdependent critical infrastructure systems - A systematic literature review

  2024cites this paper
• An Unsupervised Learning Tool for Plaque Tissue Characterization in Histopathological Images

  2024cites this paper
• Data Mining Utilizing Various Leveled Clustering Procedures on the Position of Workers in a Data Innovation Firm

  2024cites this paper
• Identifying service bottlenecks in public bikesharing flow networks

  2024cites this paper
• Exploring Soil Diversity and Land Use Patterns in Arid Tropical Zones: Employing K-Means Clustering in Kolar District, Karnataka

  2024cites this paper
• Measuring Digital Sustainability Paying Attention to the Economic, Social, and Environmental Dimensions: A European Perspective

  2024cites this paper
• Modification of the Sugar-James Algorithm for Clustering Measurements of Mode Parameters

  2024cites this paper
• Enhancing Web Text Clustering Accuracy and Efficiency With a Maximum Entropy Function Model: Overcoming High-Dimensional and Directional Challenges

  2024cites this paper
• A mathematical tool for road design projects

  2024cites this paper
• An Overview of Advanced Deep Graph Node Clustering

  2024cites this paper
• Harnessing Machine Learning for Effective Customer Segmentation

  2024cites this paper
• Data clustering: a fundamental method in data science and management

  2024cites this paper
• A Gentle Introduction and Application of Feature-Based Clustering with Psychological Time Series

  2024cites this paper
• Journey into Virtual Reality: Identifying Behavioral Intentions to Use Virtual Reality in Tourism through Spectral Clustering

  2024cites this paper
• Taylor Horse Herd Optimized Deep Fuzzy clustering and Laplace based K-nearest neighbor for web page recommendation

  2023cites this paper
• Hierarchical clustering of constrained dynamic systems using robust positively invariant sets

  2023cites this paper
• DG-means: a superior greedy algorithm for clustering distributed data

  2023cites this paper
• Machine learning-based PortScan attacks detection using OneR classifier

  2023cites this paper
• Big Data-Driven Portfolio Simplification: Leveraging Self-Labeled Clustering to Enhance Decision-Making

  2023cites this paper
• Complexity of Local Search for Euclidean Clustering Problems

  2023cites this paper
• Efficient estimation of the number of clusters for high-dimension data

  2023cites this paper
• Prospective mathematics secondary teachers’ perceptions of their pedagogical content knowledge: an approach in the educational context of Zambia

  2023cites this paper
• Analisis Perbandingan Pengelompokan Kota di Indonesia Berdasarkan Indikator Inflasi Tahun 2021 dengan Metode Ward dan K-Means

  2023cites this paper
• Fast Flexible Bipartite Graph Model for Co-Clustering

  2023cites this paper
• Multilinear algebra methods for higher-dimensional graphs

  2023cites this paper
• Suggestions for combining psychometric-based and supervised classification methods to detect cheating in online exams

  2023cites this paper
• Non-compliance of the European Court of Human Rights decisions: A machine learning analysis

  2023cites this paper
• Bridging accuracy and interpretability: A rescaled cluster-then-predict approach for enhanced credit scoring

  2023cites this paper
• Data stream clustering using complex networks

  2023cites this paper
• From Data Governance by design to Data Governance as a Service: A transformative human-centric data governance framework

  2023cites this paper
• Sample of Groups: A New Strategy to Find a Representative Point for Each Undisclosed Cluster

  2023cites this paper
• Personas-based Student Grouping using reinforcement learning and linear programming

  2023cites this paper
• Load Aggregation Method for Electric Vehicle Based on SOM Neural Network Clustering

  2023cites this paper
• Self-Supervised Clustering Models Based on BYOL Network Structure

  2023cites this paper
• Review of the grey wolf optimization algorithm: variants and applications

  2023cites this paper
• Cluster ensemble selection and consensus clustering: A multi-objective optimization approach

  2023cites this paper
• PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search

  2023cites this paper
• Incremental hierarchical text clustering methods: a review

  2023cites this paper
• HDSCC: A robust clustering approach for Single Cell RNA-seq data using Hyperdimensional Encoding

  2023cites this paper
• A Prescriptive Framework for Selecting Optimal Machine Learning Algorithms for Enterprise-level Problems

  2023cites this paper
• On k-means iterations and Gaussian clusters

  2023cites this paper
• Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities

  2023cites this paper
• Data Augmentation Generated by Generative Adversarial Network for Small Sample Datasets Clustering

  2023cites this paper
• Hashing-Based Distributed Clustering for Massive High-Dimensional Data

  2023cites this paper
• A Study of Bio-inspired Computing in Bioinformatics: A State-of-the-art Literature Survey

  2023cites this paper