Fast Spectral Clustering of Data Using Sequential Matrix Compression

No abstract is available for this paper.

• Publication year

  2006

• Venue

  European Conference on Machine Learning

• Publication date

  2006-09-18

• Fields of study

  Mathematics, Computer Science

• Identifiers
  DOI 10.1007/11871842_56
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Matrix Computations, 3rd Edition

  2007cited by this paper
• Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method

  2001cited by this paper
• Normalized cuts and image segmentation

  1997cited by this paper
• IMPLICITLY RESTARTED ARNOLDI/LANCZOS METHODS FOR LARGE SCALE EIGENVALUE CALCULATIONS

  1996cited by this paper
• NewsWeeder: Learning to Filter Netnews

  1995cited by this paper
• New spectral methods for ratio cut partitioning and clustering

  1991cited by this paper
• A survey of conjugate gradient algorithms for solution of extreme eigen-problems of a symmetric matrix

  1989cited by this paper

• Triplets-based large-scale multi-view spectral clustering

  2025cites this paper
• Efficient spectral embedding representation approximation for large-scale data clustering

  2025cites this paper
• A Novel Normalized-Cut Solver With Nearest Neighbor Hierarchical Initialization

  2023cites this paper
• Fast spectral clustering with self-weighted features

  2022cites this paper
• Weighted bilateral K-means algorithm for fast co-clustering and fast spectral clustering

  2021cites this paper
• Tensorized Bipartite Graph Learning for Multi-View Clustering

  2021cites this paper
• Graph construction with condition-based weights for spectral clustering of hierarchical datasets

  2020cites this paper
• Large-Scale Spectral Clustering Based on Representative Points

  2019cites this paper
• Advanced Techniques for Unsupervised Classification of Remote Sensing Hyperspectral Images

  2019cites this paper
• Euler Clustering on Large-Scale Dataset

  2018cites this paper
• Scalable Spectral Clustering Using Random Binning Features

  2018cites this paper
• Multi-view Clustering: A Brief Review

  2018cites this paper
• L G ] 3 A pr 2 01 8 1 A Survey on MultiView Clustering

  2018cites this paper
• Efficient analysis of data streams

  2017cites this paper
• Developing an efficient spectral clustering algorithm on large scale graphs in spark

  2017cites this paper
• A Survey on Multiview Clustering

  2017cites this paper
• A Spectral Clustering Method for Large-Scale Geostatistical Datasets

  2017cites this paper
• Scalable Sequential Spectral Clustering

  2016cites this paper
• Extraction of Dynamical Coherent Structures from Time-Varying Data Sets

  2016cites this paper
• Understanding the geometry of transport: Diffusion maps for Lagrangian trajectory data unravel coherent sets.

  2016cites this paper
• L10: Spectral Clustering

  2016influential citation
• Clustering analysis for large scale data sets

  2015cites this paper
• Handbook of Cluster Analysis

  2015cites this paper
• Large Scale Spectral Clustering Via Landmark-Based Sparse Representation

  2015cites this paper
• Large-Scale Spectral Clustering on Graphs

  2013cites this paper
• Chapter 8 Spectral Clustering

  2013cites this paper
• Large Scale Spectral Clustering with Landmark-Based Representation

  2011cites this paper
• OpenXUP: an alternative approach to developing highly interactive web applications

  2006cites this paper