Weighted graph cuts without eigenvectors a multilevel approach

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 29, Issue 11, 2007, Pages 1944-1957

  Dhillon, Inderjit S ^a   Guan, Yuqiang ^b   Kulis, Brian ^a  

^a University of Texas at Austin   (United States)

^b MICROSOFT   (United States)

Author keywords

Clustering; Data mining; Graph partitioning; K means; k means; Kernel; Segmentation; Spectral clustering

Indexed keywords

DATA MINING; EIGENVALUES AND EIGENFUNCTIONS; IMAGE SEGMENTATION; OPTIMIZATION; SPECTRUM ANALYSIS;

GRAPH PARTITIONING; KERNEL; SPECTRAL CLUSTERING;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 34548748711     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2007.1115     Document Type: Article

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