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Volumn , Issue , 2012, Pages

A semi-supervised formulation to binary kernel spectral clustering

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATASETS; CLASSIFICATION ACCURACY; CLUSTERING MODEL; CORE MODEL; DISTORTION MEASURES; DUAL MODEL; DUAL PROBLEM; EIGENVALUE PROBLEM; GENERALIZATION CAPABILITY; MODEL SELECTION; MODEL SELECTION CRITERIA; OBJECTIVE FUNCTIONS; SEMI-SUPERVISED; SPECTRAL CLUSTERING; TOY DATA;

EID: 84865104561     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252643     Document Type: Conference Paper
Times cited : (11)

References (18)
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  • 3
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  • 5
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    • February
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    • (2010) IEEE Trans- Actions on Pattern Analysis and Machine Intelligence , vol.32 , Issue.2 , pp. 335-347
    • Alzate, C.1    Suykens, J.A.K.2
  • 14
    • 52149103339 scopus 로고    scopus 로고
    • Data visualization and dimensionality reduction using kernel maps with a reference point
    • J. A. K. Suykens, "Data visualization and dimensionality reduction using kernel maps with a reference point," IEEE Transactions on Neural Networks, vol. 19, no. 9, pp. 1501-1517, 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.9 , pp. 1501-1517
    • Suykens, J.A.K.1
  • 15
    • 33750729556 scopus 로고    scopus 로고
    • Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
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    • software
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.