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152
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PRL
2010
188views more  PRL 2010»
14 years 10 months ago
A fast divisive clustering algorithm using an improved discrete particle swarm optimizer
As an important technique for data analysis, clustering has been employed in many applications such as image segmentation, document clustering and vector quantization. Divisive cl...
Liang Feng, Ming-Hui Qiu, Yu-Xuan Wang, Qiao-Liang...
95
Voted
DATESO
2007
85views Database» more  DATESO 2007»
15 years 5 months ago
Improvement of Text Compression Parameters Using Cluster Analysis
Abstract. Several actions are usually performed when document is appended to textual database in information retrieval system. The most frequent actions are compression of the docu...
Jiri Dvorský, Jan Martinovic
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 3 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
101
Voted
CLUSTER
2007
IEEE
15 years 9 months ago
Performance analysis of a user-level memory server
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...
Scott Pakin, Greg Johnson
123
Voted
TJS
2002
118views more  TJS 2002»
15 years 3 months ago
On the Design, Development, Deployment, and Network Survivability Analysis of the Dynamic Routing System Protocol
: With the ever-increasing demands on server applications, reliability is of paramount importance. Often these services are implemented using a distributed server cluster architect...
Abdur Chowdhury, Ophir Frieder, Peng-Jun Wan