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112
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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 5 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
87
Voted
CLUSTER
2004
IEEE
15 years 4 months ago
Simplifying administration through dynamic reconfiguration. in a cooperative cluster storage system
Cluster Storage Systems where storage devices are distributed across a large number of nodes are able to reduce the I/O bottleneck problems present in most centralized storage sys...
Renaud Lachaize, Jorgen S. Hansen
123
Voted
CLUSTER
2001
IEEE
15 years 4 months ago
Parallel Standard Cell Placement on a Cluster of Workstations
In this paper we report experiences on a parallel implementation of a standard cell placement algorithm on a cluster of myrinet connected PCs. The proposed algorithm is based on a...
Faris H. Khundakjie, Patrick H. Madden, Nael B. Ab...
ICANN
2010
Springer
15 years 22 days ago
A Cooperative and Penalized Competitive Learning Approach to Gaussian Mixture Clustering
Abstract. Competitive learning approaches with penalization or cooperation mechanism have been applied to unsupervised data clustering due to their attractive ability of automatic ...
Yiu-ming Cheung, Hong Jia
87
Voted
IJON
2006
60views more  IJON 2006»
15 years 16 days ago
Spatiotemporal clustering of synchronized bursting events in neuronal networks
in vitro neuronal networks display Synchronized Bursting Events (SBEs), with characteristic temporal width of 100-500 ms and frequency of once every few seconds. We analyze such d...
Uri Barkan, David Horn