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ICML
2009
IEEE
14 years 11 months ago
Multi-assignment clustering for Boolean data
Conventional clustering methods typically assume that each data item belongs to a single cluster. This assumption does not hold in general. In order to overcome this limitation, w...
Andreas P. Streich, Mario Frank, David A. Basin, J...
MASCOTS
2010
13 years 8 months ago
Cluster-Based Correlated Data Gathering in Wireless Sensor Networks
—We consider the problem of optimal cluster-based data gathering in Wireless Sensor Networks (WSNs) when nearby readings are spatially correlated. Due to the dense nature of WSNs...
Ali Dabirmoghaddam, Majid Ghaderi, Carey L. Willia...
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 7 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
ICDM
2007
IEEE
139views Data Mining» more  ICDM 2007»
14 years 4 months ago
Data Clustering with a Relational Push-Pull Model
We present a new generative model for relational data in which relations between objects can have either a binding or a separating effect. For example, in a group of students sep...
Adam Anthony, Marie desJardins
SAC
2006
ACM
14 years 4 months ago
Two-phase clustering strategy for gene expression data sets
In the context of genome research, the method of gene expression analysis has been used for several years. Related microarray experiments are conducted all over the world, and con...
Dirk Habich, Thomas Wächter, Wolfgang Lehner,...