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MLDM
2005
Springer
15 years 8 months ago
SSC: Statistical Subspace Clustering
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
COLT
2008
Springer
15 years 5 months ago
Model Selection and Stability in k-means Clustering
Clustering Stability methods are a family of widely used model selection techniques applied in data clustering. Their unifying theme is that an appropriate model should result in ...
Ohad Shamir, Naftali Tishby
MICRO
2005
IEEE
123views Hardware» more  MICRO 2005»
15 years 8 months ago
A Criticality Analysis of Clustering in Superscalar Processors
Clustered machines partition hardware resources to circumvent the cycle time penalties incurred by large, monolithic structures. This partitioning introduces a long inter-cluster ...
Pierre Salverda, Craig B. Zilles
PDPTA
2000
15 years 4 months ago
Using a Hypercube Algorithm for Broadcasting in Internet-Based Clusters
Internet-based clusters of workstations have been extensively used to execute parallel applications. Although these internet-based clusters seem to be an easy and inexpensive way ...
Silvia M. Figueira
CSDA
2007
142views more  CSDA 2007»
15 years 3 months ago
DIVCLUS-T: A monothetic divisive hierarchical clustering method
DIVCLUS-T is a divisive hierarchical clustering algorithm based on a monothetic bipartitional approach allowing the dendrogram of the hierarchy to be read as a decision tree. It i...
Marie Chavent, Yves Lechevallier, Olivier Briant