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Volumn , Issue , 2006, Pages 778-779

A neighborhood-based approach for clustering of linked document collections

Author keywords

Clustering; Exploiting link structure

Indexed keywords

BIBLIOGRAPHIC RETRIEVAL SYSTEMS; DATA ACQUISITION; DATA STRUCTURES; ITERATIVE METHODS; PROBLEM SOLVING; WEB SERVICES; WEBSITES;

EID: 34547638416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1183614.1183726     Document Type: Conference Paper
Times cited : (30)

References (7)
  • 1
    • 34547629315 scopus 로고    scopus 로고
    • A neighborhoodbased approach for clustering of linked document collections
    • MPI-I-2006-5-005, 2006
    • R. Angelova, S. Sieradorfer, and G. Weikum. A neighborhoodbased approach for clustering of linked document collections. Research Report MPI-I-2006-5-005, 2006.
    • Research Report
    • Angelova, R.1    Sieradorfer, S.2    Weikum, G.3
  • 2
    • 33750309516 scopus 로고    scopus 로고
    • Graph-based text classification: Learn from your neighbors
    • R. Angelova and G. Weikum. Graph-based text classification: Learn from your neighbors. In .ACM SIGIR '06, 2006.
    • (2006) ACM SIGIR '06
    • Angelova, R.1    Weikum, G.2
  • 3
    • 0001138328 scopus 로고
    • A k-means clustering algorithm
    • J. Hartigan and M. Wong. A k-means clustering algorithm. Applied Statistics, 28:100-108, 1979.
    • (1979) Applied Statistics , vol.28 , pp. 100-108
    • Hartigan, J.1    Wong, M.2
  • 7
    • 0014976008 scopus 로고
    • Graph-theoretical methods for detecting and describing gestalt clusters
    • C. Zahn. Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Trans. Comp., C20:68-86, 1971.
    • (1971) IEEE Trans. Comp , vol.C20 , pp. 68-86
    • Zahn, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.