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» An overview of clustering methods
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PR
2008
130views more  PR 2008»
13 years 8 months ago
Active semi-supervised fuzzy clustering
Clustering algorithms are increasingly employed for the categorization of image databases, in order to provide users with database overviews and make their access more effective. ...
Nizar Grira, Michel Crucianu, Nozha Boujemaa
IDA
2007
Springer
14 years 2 months ago
Visualising the Cluster Structure of Data Streams
The increasing availability of streaming data is a consequence of the continuing advancement of data acquisition technology. Such data provides new challenges to the various data a...
Dimitris K. Tasoulis, Gordon J. Ross, Niall M. Ada...
GFKL
2006
Springer
60views Data Mining» more  GFKL 2006»
14 years 13 days ago
Single Cluster Visualization to Optimize Air Traffic Management
In this paper we present an application of single cluster visualization (SCV) a technique to visualize single clusters of high-dimensional data. This method maps a single cluster t...
Frank Rehm, Frank Klawonn, Rudolf Kruse
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 10 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
DMIN
2006
151views Data Mining» more  DMIN 2006»
13 years 10 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