DIAS: A disassemble-assemble framework for highly sparse text clustering

SIAM International Conference on Data Mining 2015, SDM 2015

Volumn , Issue , 2015, Pages 766-774

  Liu, Hongfu ^a   Wu, Junjie ^b   Tao, Dacheng ^c   Zhang, Yuchao ^d   Fu, Yun ^a  

^a Northeastern University   (United States)

^b BEIHANG UNIVERSITY   (China)

^c UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

^d Beijing Institute of System Engineering   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; DISTRIBUTED COMPUTER SYSTEMS; INFORMATION THEORY;

CONSENSUS CLUSTERING; CRITICAL CHALLENGES; DATA MINING COMMUNITY; HIGH QUALITY; HIGH-DIMENSIONAL; RANDOM FEATURES; STRUCTURAL KNOWLEDGE; TEXT CLUSTERING;

DATA MINING;

EID: 84961956889     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611974010.86     Document Type: Conference Paper

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