메뉴 건너뛰기




Volumn , Issue , 2002, Pages 10-18

A local search approximation algorithm for k-means clustering

Author keywords

Approximation algorithms; Clustering; Computational geometry; k means; Local search

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; HEURISTIC METHODS; PROBLEM SOLVING;

EID: 0036361823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/513400.513402     Document Type: Conference Paper
Times cited : (182)

References (33)
  • 14
    • 0000014486 scopus 로고
    • Cluster analysis of multivariate data: Efficiency vs. interpretability of classification
    • (1965) Biometrics , vol.21 , pp. 768
    • Forgey, E.1
  • 25
    • 84958048640 scopus 로고    scopus 로고
    • A nearly linear-time approximation scheme for the Euclidean k-median problem
    • J. Nesetril, editor, Proceedings of the Seventh Annual European Symposium on Algorithms, Springer-Verlag, July
    • (1999) Lecture Notes Comput. Sci. , vol.1643 , pp. 362-371
    • Kolliopoulos, S.1    Rao, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.