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RECOMB
2009
Springer
16 years 7 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
KDD
2001
ACM
166views Data Mining» more  KDD 2001»
16 years 7 months ago
Generalized clustering, supervised learning, and data assignment
Clustering algorithms have become increasingly important in handling and analyzing data. Considerable work has been done in devising effective but increasingly specific clustering...
Annaka Kalton, Pat Langley, Kiri Wagstaff, Jungsoo...
KDD
2004
ACM
157views Data Mining» more  KDD 2004»
15 years 12 months ago
On detecting space-time clusters
Detection of space-time clusters is an important function in various domains (e.g., epidemiology and public health). The pioneering work on the spatial scan statistic is often use...
Vijay S. Iyengar
CCGRID
2009
IEEE
15 years 11 months ago
Dynamic Provisioning of Virtual Organization Clusters
Virtual Organization Clusters are systems comprised of virtual machines that provide dedicated computing clusters for each individual Virtual Organization. The design of these clu...
Michael A. Murphy, Brandon Kagey, Michael Fenn, Se...
SDM
2004
SIAM
141views Data Mining» more  SDM 2004»
15 years 8 months ago
Visually Mining through Cluster Hierarchies
Similarity search in database systems is becoming an increasingly important task in modern application domains such as multimedia, molecular biology, medical imaging, computer aid...
Stefan Brecheisen, Hans-Peter Kriegel, Peer Kr&oum...