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Volumn 26, Issue 13, 2005, Pages 2015-2021

Building k-edge-connected neighborhood graph for distance-based data projection

Author keywords

Data projection; Dimensionality reduction; Manifold learning; Neighborhood graph

Indexed keywords

ALGORITHMS; DATA PROCESSING; PATTERN RECOGNITION;

EID: 24344438672     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2005.03.021     Document Type: Article
Times cited : (30)

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    • K-edge connected neighborhood graph for geodesic distance estimation and nonlinear data projection
    • August Cambridge, UK
    • Yang, L., 2004. k-edge connected neighborhood graph for geodesic distance estimation and nonlinear data projection. In: Proc. 17th Int. Conf. Pattern Recognition (ICPR'04), August, vol. 1, pp. 196-199, Cambridge, UK.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.