148 search results - page 13 / 30 » Context-Based Distance Learning for Categorical Data Cluster... |
96
Voted
ICML
2005
IEEE
16 years 1 months ago
2005
IEEE
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
143
Voted
SIGMOD
2011
ACM
14 years 3 months ago
2011
ACM
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
137
Voted
BMCBI
2007
15 years 14 days ago
2007
Background: The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell...
ICML
2007
IEEE
16 years 1 months ago
2007
IEEE
Relational data appear frequently in many machine learning applications. Relational data consist of the pairwise relations (similarities or dissimilarities) between each pair of i...
112
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KDD
2008
ACM
16 years 23 days ago
2008
ACM
Information-theoretic clustering aims to exploit information theoretic measures as the clustering criteria. A common practice on this topic is so-called INFO-K-means, which perfor...