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» Beyond Pairwise Clustering
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DIS
2006
Springer
13 years 11 months ago
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
Jan Poland, Thomas Zeugmann
KDD
2006
ACM
167views Data Mining» more  KDD 2006»
14 years 7 months ago
Clustering pair-wise dissimilarity data into partially ordered sets
Ontologies represent data relationships as hierarchies of possibly overlapping classes. Ontologies are closely related to clustering hierarchies, and in this article we explore th...
Jinze Liu, Qi Zhang, Wei Wang 0010, Leonard McMill...
JCB
2008
170views more  JCB 2008»
13 years 7 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han
TMM
2008
112views more  TMM 2008»
13 years 7 months ago
Multimodal News Story Clustering With Pairwise Visual Near-Duplicate Constraint
Story clustering is a critical step for news retrieval, topic mining, and summarization. Nonetheless, the task remains highly challenging owing to the fact that news topics exhibit...
Xiao Wu, Chong-Wah Ngo, Alexander G. Hauptmann
PRL
2010
158views more  PRL 2010»
13 years 5 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain