메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 57-64

A new approach to data driven clustering

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DISTRIBUTED COMPUTER SYSTEMS; ITERATIVE METHODS; MARKOV PROCESSES; MATRIX ALGEBRA; PROBABILITY; PROBLEM SOLVING; STATISTICAL METHODS;

EID: 33749235182     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (7)
  • 6
    • 4544280485 scopus 로고    scopus 로고
    • Nearly linear time algorithms for graph partitioning, graph sparsification, and solving linear systems
    • Spielman, D., & Teng, S. (2004). Nearly linear time algorithms for graph partitioning, graph sparsification, and solving linear systems. 36th Annual ACM Symposium on Theory of Computing (pp. 81-90).
    • (2004) 36th Annual ACM Symposium on Theory of Computing , pp. 81-90
    • Spielman, D.1    Teng, S.2
  • 7
    • 0141590672 scopus 로고    scopus 로고
    • Data clustering by markovian relaxation and the information bottleneck method
    • Tishby, N., & Slonim, N. (2000). Data clustering by markovian relaxation and the information bottleneck method. NIPS (pp. 640-646).
    • (2000) NIPS , pp. 640-646
    • Tishby, N.1    Slonim, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.