Fuzzy K-means clustering algorithms for interval-valued data based on adaptive quadratic distances

No abstract is available for this paper.

• Publication year

  2010

• Venue

  Fuzzy Sets Syst.

• Publication date

  2010-12-01

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1016/j.fss.2010.08.003
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Symbolic Data Analysis and the SODAS Software

  2008cited by this paper
• Symbolic Data Analysis: Conceptual Statistics and Data Mining (Wiley Series in Computational Statistics)

  2007cited by this paper
• Fuzzy c-means clustering methods for symbolic interval data

  2007cited by this paper
• Dynamic clustering for interval data based on L2 distance

  2006cited by this paper
• New clustering methods for interval data

  2006cited by this paper
• Partitional fuzzy clustering methods based on adaptive quadratic distances

  2006cited by this paper
• Fuzzy clustering algorithms for mixed feature variables

  2004cited by this paper
• Multivalued type proximity measure and concept of mutual similarity value useful for clustering symbolic patterns

  2004cited by this paper
• Clustering of interval data based on city-block distances

  2004cited by this paper
• Clustering and its validation in a symbolic framework

  2003cited by this paper
• From the Statistics of Data to the Statistics of Knowledge

  2003cited by this paper
• CIRCLE STRUCTURE DERIVED FROM DECOMPOSITION OF ASYMMETRIC DATA MATRIX

  2002cited by this paper
• Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data

  2000cited by this paper
• Clustering of symbolic objects using gravitational approach

  1999cited by this paper
• Data clustering: a review

  1999cited by this paper
• Fuzzy clustering for symbolic data

  1998cited by this paper
• Mercury in the food web: accumulation and transfer mechanisms.

  1997cited by this paper
• CLUSTERING VALIDATION: RESULTS AND IMPLICATIONS FOR APPLIED ANALYSES

  1996cited by this paper
• Agglomerative clustering of symbolic objects using the concepts of both similarity and dissimilarity

  1995cited by this paper
• Symbolic clustering using a new dissimilarity measure

  1991cited by this paper
• Pattern Recognition with Fuzzy Objective Function Algorithms

  1981cited by this paper
• Fuzzy clustering with a fuzzy covariance matrix

  1978cited by this paper
• Cluster Analysis

  1974cited by this paper
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

  1973cited by this paper

• Statistical Techniques of Exhaled Breath Analysis for Disease Diagnosis and Human Health Monitoring

  2025cites this paper
• Three-way density peak clustering in incomplete information systems

  2025cites this paper
• Three-Way clustering based on fuzzy centroids in incomplete information systems with categorical data

  2025cites this paper
• Multiview Classification Through Learning From Interval-Valued Data

  2024cites this paper
• A Trend-Granulation-Based Fuzzy C-Means Algorithm for Clustering Interval-Valued Time Series

  2024cites this paper
• Pattern Analysis Based on Interval Estimates: Ordinal-Interval Pattern Clustering

  2024cites this paper
• Entropy-based fuzzy clustering of interval-valued time series

  2024cites this paper
• A Maximum-Entropy Fuzzy Clustering Approach for Cancer Detection When Data Are Uncertain

  2023cites this paper
• Fuzzy clustering with entropy regularization for interval-valued data with an application to scientific journal citations

  2023cites this paper
• Fuzzy clustering of spatial interval-valued data

  2023cites this paper
• Wavelet-based fuzzy clustering of interval time series

  2022cites this paper
• Soft subspace clustering of interval-valued data with regularizations

  2021cites this paper
• Innovative Landslide Susceptibility Mapping Portrayed by CA-AQD and K-Means Clustering Algorithms

  2021cites this paper
• Water quality assessment based on interval-valued data cluster analysis

  2021cites this paper
• Two clustering methods based on the Ward's method and dendrograms with interval-valued dissimilarities for interval-valued data

  2021cites this paper
• Assessment of landslide susceptibility using DBSCAN-AHD and LD-EV methods

  2021cites this paper
• Fuzzy k-Means: history and applications

  2021cites this paper
• Trend-Based Granular Representation of Time Series and its Application in Clustering

  2021cites this paper
• A fuzzy clustering approach for fuzzy data based on a generalized distance

  2020cites this paper
• A Preferential Interval-Valued Fuzzy C-Means Algorithm for Remotely Sensed Imagery Classification

  2019cites this paper
• Clustering of inaccurate data using information on its precision

  2019cites this paper
• Fuzzy clustering of mixed data

  2019cites this paper
• A fuzzy inference system modeling approach for interval-valued symbolic data forecasting

  2019cites this paper
• Landcover classification of satellite images based on an adaptive interval fuzzy c-means algorithm coupled with spatial information

  2019cites this paper
• The metrologically reasonable clustering of measurement results

  2019cites this paper
• Clustering of interval-valued time series of unequal length based on improved dynamic time warping

  2019cites this paper
• An Efficient Uncertainty Measure-based Attribute Reduction Approach for Interval-valued Data with Missing Values

  2019cites this paper
• An interval number distance- and ranking-based method for remotely sensed image fuzzy clustering

  2018cites this paper
• Remote Sensing Image Classification Method Based on Preferential Adaptive Interval-Value Fuzzy C-Means

  2018cites this paper
• Dynamic Fusion of Multisource Interval-Valued Data by Fuzzy Granulation

  2018cites this paper
• Fuzzy rule-based modeling for interval-valued time series prediction

  2018cites this paper
• Novel fuzzy uncertainty modeling for land cover classification based on clustering analysis

  2018cites this paper
• Unsupervised Binning of Metagenomic Assembled Contigs Using Improved Fuzzy C-Means Method

  2017cites this paper
• Informational Paradigm, management of uncertainty and theoretical formalisms in the clustering framework: A review

  2017cites this paper
• A novel ensembled technique for anomaly detection

  2017cites this paper
• Optimal Set of Overlapping Clusters Using Multi-objective Genetic Algorithm

  2017cites this paper
• Exploratory multivariate analysis for empirical information affected by uncertainty and modeled in a fuzzy manner: a review

  2017cites this paper
• An Enhanced IT2FCM* Algorithm Integrating Spectral Indices and Spatial Information for Multi-Spectral Remote Sensing Image Clustering

  2017cites this paper
• Fuzzy clustering of interval-valued data with City-Block and Hausdorff distances

  2017cites this paper
• Exploratory multivariate analysis for empirical information affected by uncertainty and modeled in a fuzzy manner: a review

  2017cites this paper
• A research on the application of fuzzy iteration clustering in the water conservancy project

  2017cites this paper
• Interval-valued fuzzy set approach to fuzzy co-clustering for data classification

  2016cites this paper
• Fuzzy c-ordered-means clustering

  2016cites this paper
• Clustering of Children with Cerebral Palsy with Prior Biomechanical Knowledge Fused from Multiple Data Sources

  2016cites this paper
• Fuzzy c-ordered medoids clustering for interval-valued data

  2016cites this paper
• Remote sensing clustering analysis based on object-based interval modeling

  2016cites this paper
• Cluster analysis for overlapping clusters using genetic algorithm

  2016cites this paper
• Correlation coefficient evaluation for the fuzzy interval data

  2016cites this paper
• Participatory Learning Fuzzy Clustering for Interval-Valued Data

  2016cites this paper
• Batch SOM algorithms for interval-valued data with automatic weighting of the variables

  2016cites this paper
• Exponential distance-based fuzzy clustering for interval-valued data

  2016cites this paper
• Input space versus feature space in kernel-based interval fuzzy C-Means clustering

  2015cites this paper
• Parameter estimation from interval-valued data using the expectation-maximization algorithm

  2015cites this paper
• Probabilistic clustering of interval data

  2015cites this paper
• The Comparison of Fuzzy Clustering Methods for Symbolic Interval-Valued Data

  2015cites this paper
• A hybrid fuzzy K-harmonic means clustering algorithm

  2015cites this paper
• A multi-view relational fuzzy c-medoid vectors clustering algorithm

  2015cites this paper
• An Interval-Based Framework for Fuzzy Clustering Applications

  2015cites this paper
• THREE LAYERED BAR MODEL ARCHITECTURE FOR STOCK MARKET COMPONENT ANALYSIS

  2015cites this paper
• An Enhanced Risk Prediction System for Cardiovascular Disease in India using Fuzzy Classification

  2015cites this paper
• Similarity measures of interval-valued fuzzy sets

  2015cites this paper
• Land cover classification of remote sensing imagery based on interval-valued data fuzzy c-means algorithm

  2014cites this paper
• A weighted multivariate Fuzzy C-Means method in interval-valued scientific production data

  2014cites this paper
• Trimmed fuzzy clustering for interval-valued data

  2014cites this paper
• Membership Function Design for Multifactorial Multivariate Data Characterizing and Coding in Human Component System Studies

  2014cites this paper
• Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics

  2014cites this paper
• An Analysis of Fuzzy Clustering Methods

  2014cites this paper
• Possibilistic Clustering Methods for Interval-Valued Data

  2014cites this paper
• Deformation-compensated modeling of flexible material processing based on T-S fuzzy neural network and fuzzy clustering

  2014cites this paper
• An Interval Slope Approach to Fuzzy C-Means Clustering Algorithm for Interval Valued Data

  2014cites this paper
• Clustering interval data through kernel-induced feature space

  2013cites this paper
• Fuzzy and hard clustering analysis for thyroid disease

  2013cites this paper
• Partitioning Fuzzy C-Means Clustering Algorithms for Interval-Valued Data Based on City-Block Distances

  2013cites this paper
• Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices

  2013cites this paper
• Fuzzy Kohonen clustering networks for interval data

  2013cites this paper
• A Spectrum of Fuzzy Clustering Algorithm and Its Applications

  2013cites this paper
• A fuzzy weighted clustering method for symbolic interval data

  2012influential citation
• Taksonomia 20 Klasyfikacja i analiza danych - teoria i zastosowania

  2012cites this paper
• Possibilistic approach to clustering of interval data

  2012influential citation
• Self-organizing map for symbolic data

  2012cites this paper
• An Improved Fuzzy C-means Cluster Algorithm for Radar Data Association

  2012cites this paper
• Partitioning fuzzy clustering algorithms for interval-valued data based on Hausdorff distances

  2012cites this paper
• Partitioning fuzzy clustering algorithms for mixed feature-type symbolic data

  2012cites this paper
• Identifing reservoir fluid properties in Daniudi Paleozoic gas field by fuzzy clustering analysis method

  2012cites this paper
• Community Detection Based on an Improved Modularity

  2012cites this paper
• A robust clustering algorithm for interval data

  2012influential citation
• Far beyond the classical data models: symbolic data analysis

  2011cites this paper
• POLSKA AKADEMIA NAUK KOMITET STATYSTYKI I EKONOMETRII

  2011cites this paper
• New similarity measures between interval-valued fuzzy sets

  2011cites this paper
• A Comparison between K-Means, FCM and ckMeans Algorithms

  2011cites this paper