Yes we can - Simplex volume maximization for descriptive web-scale matrix factorization

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 1785-1788

  Thurau, Christian ^a   Kersting, Kristian ^a   Bauckhage, Christian ^a  

^a FRAUNHOFER IAIS   (Germany)

Author keywords

Clustering; Distance geometry; End member determination; Matrix factorization

Indexed keywords

CLUSTERING; CLUSTERING TECHNIQUES; COMMON CRITERIA; CONVEX COMBINATIONS; DATA POINTS; DISTANCE GEOMETRY; END-MEMBER DETERMINATION; EXPERIMENTAL VALIDATIONS; FROBENIUS NORM; INTERPRETATION OF DATA; LINEAR-TIME ALGORITHMS; MASSIVE DATA; MATRIX FACTORIZATIONS; NONNEGATIVE MATRIX FACTORIZATION; VOLUME MAXIMIZATION; WEB-SCALE DATUM;

BLIND SOURCE SEPARATION; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL GEOMETRY; KNOWLEDGE MANAGEMENT; SECURITY OF DATA; SINGULAR VALUE DECOMPOSITION;

FACTORIZATION;

EID: 78651339965     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871729     Document Type: Conference Paper

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