Clustering multi-represented objects with noise

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3056, Issue , 2004, Pages 394-403

  Kailing, Karin ^a   Kriegel, Hans Peter ^a   Pryakhin, Alexey ^a   Schubert, Matthias ^a  

^a UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; VECTOR SPACES; AMINO ACIDS; DATA MINING; VECTORS;

AMINO ACID SEQUENCE; DENSITY-BASED APPROACHES; MODERN APPLICATIONS; MULTI-REPRESENTED OBJECTS; MULTIPLE REPRESENTATION; REPRESENTATION SPACE; SECONDARY STRUCTURES; TRADITIONAL CLUSTERING;

DATA MINING; ACOUSTIC NOISE;

CLUSTERING ALGORITHMS; KEY ENCODING; TEXT COLLECTION;

EID: 7444260335     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24775-3_48     Document Type: Conference Paper

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