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» On detecting space-time clusters
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ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 1 months ago
Consensus Clustering for Detection of Overlapping Clusters in Microarray Data
Most clustering algorithms are partitional in nature, assigning each data point to exactly one cluster. However, several real world datasets have inherently overlapping clusters i...
Meghana Deodhar, Joydeep Ghosh
TCOM
2008
119views more  TCOM 2008»
13 years 7 months ago
Maximum likelihood detection for differential unitary space-time modulation with carrier frequency offset
Can conventional differential unitary space time modulation (DUSTM) be applied when there is an unknown carrier frequency offset (CFO)? This paper answers this question affirmative...
Feifei Gao, Tao Cui, Arumugam Nallanathan, Chintha...
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 5 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
PAMI
2010
228views more  PAMI 2010»
13 years 2 months ago
Detecting the Number of Clusters in n-Way Probabilistic Clustering
Zhaoshui He, Andrzej Cichocki, Shengli Xie, Kyuwan...
ICDCS
2007
IEEE
14 years 1 months ago
Resilient Cluster Formation for Sensor Networks
Sensor nodes are often organized into clusters to facilitate many network operations such as data aggregation. Clustering has to be protected in hostile environments. Otherwise, a...
Donggang Liu