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DAWAK
2007
Springer
15 years 3 months ago
MOSAIC: A Proximity Graph Approach for Agglomerative Clustering
Representative-based clustering algorithms are quite popular due to their relative high speed and because of their sound theoretical foundation. On the other hand, the clusters the...
Jiyeon Choo, Rachsuda Jiamthapthaksin, Chun-Sheng ...
NLDB
2007
Springer
15 years 3 months ago
Selecting Labels for News Document Clusters
This work deals with determination of meaningful and terse cluster labels for News document clusters. We analyze a number of alternatives for selecting headlines and/or sentences o...
Krishnaprasad Thirunarayan, Trivikram Immaneni, Ma...
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BMCBI
2004
181views more  BMCBI 2004»
14 years 9 months ago
Iterative class discovery and feature selection using Minimal Spanning Trees
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
Sudhir Varma, Richard Simon
GCA
2007
14 years 11 months ago
Adding a Campus Cluster to the SURAgrid Regional Computing Grid
This work describes the creation of a university computing cluster and its integration with the SURAgrid. The project involved acquiring and installing a cluster and adding softwa...
Brian Brooks, Kenneth Hoganson
DMIN
2006
151views Data Mining» more  DMIN 2006»
14 years 11 months ago
Rough Set Theory: Approach for Similarity Measure in Cluster Analysis
- Clustering of data is an important data mining application. One of the problems with traditional partitioning clustering methods is that they partition the data into hard bound n...
Shuchita Upadhyaya, Alka Arora, Rajni Jain