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Volumn 101, Issue 9, 2010, Pages 2184-2199

Exploring uses of persistent homology for statistical analysis of landmark-based shape data

Author keywords

Landmark based data; Multidimensional scaling; Persistence diagrams; Persistent homology; Shape analysis; Wasserstein distance

Indexed keywords


EID: 77955050585     PISSN: 0047259X     EISSN: 10957243     Source Type: Journal    
DOI: 10.1016/j.jmva.2010.04.016     Document Type: Article
Times cited : (54)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.