4.6 Review

The latest research progress on spectral clustering

Related references

Note: Only part of the references are listed.
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Two-Step Spectral Clustering Controlled Islanding Algorithm

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IEEE TRANSACTIONS ON POWER SYSTEMS (2013)

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A Spectral Clustering Approach Based on Newton's Equations of Motion

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Sparse spectral clustering method based on the incomplete Cholesky decomposition

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Research of semi-supervised spectral clustering based on constraints expansion

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Fuzzy spectral clustering with robust spatial information for image segmentation

Hanqiang Liu et al.

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Selection of the number of clusters via the bootstrap method

Yixin Fang et al.

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2012)

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Clustering With Multi-Layer Graphs: A Spectral Perspective

Xiaowen Dong et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

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Additive spectral method for fuzzy cluster analysis of similarity data including community structure and affinity matrices

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Spectral clustering with discriminant cuts

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Hierarchical kernel spectral clustering

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Constructing affinity matrix in spectral clustering based on neighbor propagation

Xin-Ye Li et al.

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Spectral clustering: A semi-supervised approach

Weifu Chen et al.

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Alignment and integration of complex networks by hypergraph-based spectral clustering

Tom Michoel et al.

PHYSICAL REVIEW E (2012)

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Fast semi-supervised clustering with enhanced spectral embedding

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PATTERN RECOGNITION (2012)

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Multi-level Low-rank Approximation-based Spectral Clustering for image segmentation

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Review Management

Spectral methods for graph clustering - A survey

Maria C. V. Nascimento et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2011)

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Toward the Optimization of Normalized Graph Laplacian

Bo Xie et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

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Spectral Clustering on Multiple Manifolds

Yong Wang et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)

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Parallel Spectral Clustering in Distributed Systems

Wen-Yen Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2011)

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Spectral clustering with density sensitive similarity function

Peng Yang et al.

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Spectral clustering with more than K eigenvectors

Nicola Rebagliati et al.

NEUROCOMPUTING (2011)

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Automatically finding clusters in normalized cuts

Mariano Tepper et al.

PATTERN RECOGNITION (2011)

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Bagging-based spectral clustering ensemble selection

Jianhua Jia et al.

PATTERN RECOGNITION LETTERS (2011)

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Local density adaptive similarity measurement for spectral clustering

Xianchao Zhang et al.

PATTERN RECOGNITION LETTERS (2011)

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An improved spectral clustering algorithm based on random walk

Xianchao Zhang et al.

FRONTIERS OF COMPUTER SCIENCE IN CHINA (2011)

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Image Clustering Using Local Discriminant Models and Global Integration

Yi Yang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)

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On the eigenvectors of p-Laplacian

Dijun Luo et al.

MACHINE LEARNING (2010)

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Spectral clustering with eigenvector selection based on entropy ranking

Feng Zhao et al.

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Enabling scalable spectral clustering for image segmentation

Frederick Tung et al.

PATTERN RECOGNITION (2010)

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Scene Detection in Videos Using Shot Clustering and Sequence Alignment

Vasileios T. Chasanis et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2009)

Article Statistics & Probability

Consistency of spectral clustering

Ulrike von Luxburg et al.

ANNALS OF STATISTICS (2008)

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Spectral clustering ensemble applied to SAR image segmentation

Xiangrong Zhang et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2008)

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Community structure in directed networks

E. A. Leicht et al.

PHYSICAL REVIEW LETTERS (2008)

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Spectral clustering with eigenvector selection

Tao Xiang et al.

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A tutorial on spectral clustering

Ulrike von Luxburg

STATISTICS AND COMPUTING (2007)

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Finding community structure in networks using the eigenvectors of matrices

M. E. J. Newman

PHYSICAL REVIEW E (2006)

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Modularity and community structure in networks

M. E. J. Newman

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2006)

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Spectral clustering of protein sequences

A Paccanaro et al.

NUCLEIC ACIDS RESEARCH (2006)

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Analysis of weighted networks

MEJ Newman

PHYSICAL REVIEW E (2004)

Article Biochemistry & Molecular Biology

Spectral biclustering of microarray data: Coclustering genes and conditions

Y Kluger et al.

GENOME RESEARCH (2003)

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Contour and texture analysis for image segmentation

J Malik et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2001)

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Normalized cuts and image segmentation

JB Shi et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)

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Supervised learning of large perceptual organization: Graph spectral partitioning and learning automata

S Sarkar et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2000)