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IAJIT
2008
115views more  IAJIT 2008»
15 years 6 months ago
Optimal Fuzzy Clustering in Overlapping Clusters
: The fuzzy c-means clustering algorithm has been widely used to obtain the fuzzy k-partitions. This algorithm requires that the user gives the number of clusters k. To find automa...
Ouafae Ammor, Abdelmounim Lachkar, Khadija Slaoui,...
TKDE
2008
111views more  TKDE 2008»
15 years 6 months ago
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
Sanghamitra Bandyopadhyay, Sriparna Saha
PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
IDA
2009
Springer
16 years 1 months ago
How to Control Clustering Results? Flexible Clustering Aggregation
One of the most important and challenging questions in the area of clustering is how to choose the best-fitting algorithm and parameterization to obtain an optiml clustering for t...
Martin Hahmann, Peter Benjamin Volk, Frank Rosenth...
JMMA
2010
162views more  JMMA 2010»
15 years 1 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot