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Volumn 77, Issue 1, 2009, Pages 1-25

Local procrustes for manifold embedding: A measure of embedding quality and embedding algorithms

Author keywords

Dimension reducing; Local PCA; Manifold learning; Procrustes analysis; Simulated annealing

Indexed keywords

DIMENSION REDUCING; DIMENSION-REDUCTION; EMBEDDING ALGORITHMS; LOCAL PCA; MANIFOLD LEARNING; NATURAL TOOLS; PROCRUSTES; PROCRUSTES ANALYSIS; QUANTITATIVE COMPARISON; TENENBAUM;

EID: 63649089799     PISSN: 08856125     EISSN: 15730565     Source Type: Journal    
DOI: 10.1007/s10994-009-5107-9     Document Type: Article
Times cited : (40)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.