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» Adaptive Clustering Ensembles
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SDM
2008
SIAM
120views Data Mining» more  SDM 2008»
15 years 1 months ago
Spatial Scan Statistics for Graph Clustering
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
Bei Wang, Jeff M. Phillips, Robert Schreiber, Denn...
ECIR
2006
Springer
15 years 1 months ago
Phrase Clustering Without Document Context
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
NCI
2004
142views Neural Networks» more  NCI 2004»
15 years 1 months ago
A competitive and cooperative learning approach to robust data clustering
This paper presents a new semi-competitive learning paradigm named Competitive and Cooperative Learning (CCL), in which seed points not only compete each other for updating to ada...
Yiu-ming Cheung
83
Voted
CCGRID
2010
IEEE
15 years 29 days ago
A Capabilities-Aware Programming Model for Asymmetric High-End Systems
In this research, we investigate and address the challenges of asymmetry in High-End Computing (HEC) systems comprising heterogeneous architectures with varying I/O and computation...
M. Mustafa Rafique
IPM
2006
64views more  IPM 2006»
14 years 11 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan