SCOPUS 정보 검색 플랫폼

Molecular Informatics

Volumn 32, Issue 7, 2013, Pages 591-598

Information theory and voting based consensus clustering for combining multiple clusterings of chemical structures

(3) Saeed, Faisal a,b Salim, Naomie a Abdo, Ammar c,d

a UNIVERSITI TEKNOLOGI MALAYSIA (Malaysia)

b SANA'A COMMUNITY COLLEGE (Yemen)

c HODEIDAH UNIVERSITY (Yemen)

d ECOLE CENTRALE DE LILLE (France)

Author keywords

Compound selection; Cumulative voting; Ensemble clustering; Molecular datasets

Indexed keywords

CLUSTER ANALYSIS; LEARNING SYSTEMS; PATTERN RECOGNITION; STRUCTURE (COMPOSITION);

CLUSTERING METHODS; CLUSTERINGS; COMPOUND SELECTION; CONSENSUS CLUSTERING; CUMULATIVE VOTING; ENSEMBLE CLUSTERING; MACHINE-LEARNING; MOLECULAR DATASET; MULTIPLE CLUSTERINGS; PATTERN RECOGNITION MACHINES;

INFORMATION THEORY;

ACCURACY; ALGORITHM; ARTICLE; CHEMICAL STRUCTURE; CONSENSUS DEVELOPMENT; ENTROPY; INFORMATION SCIENCE; MACHINE LEARNING; PATTERN RECOGNITION; PRIORITY JOURNAL;

EID: 84878195929 PISSN: 18681743 EISSN: 18681751 Source Type: Journal
DOI: 10.1002/minf.201300004 Document Type: Article

Times cited : (15)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.