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CLASSIFICATION
2010
13 years 7 months ago
Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
Mark Ming-Tso Chiang, Boris Mirkin
PRL
2006
77views more  PRL 2006»
13 years 10 months ago
Wavelet based approach to cluster analysis. Application on low dimensional data sets
In this paper, we present a wavelet based approach which tries to automatically find the number of clusters present in a data set, along with their position and statistical proper...
Xavier Otazu, Oriol Pujol
COLT
2010
Springer
13 years 8 months ago
Characterization of Linkage-based Clustering
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...
Margareta Ackerman, Shai Ben-David, David Loker
ICML
2006
IEEE
14 years 11 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
GI
2008
Springer
13 years 11 months ago
A Self-Organized Localization-Free Clustering Approach for Redundancy Exploitation in Large Wireless Sensor Networks
: This paper investigates organization problems of large wireless sensor networks. In spite of their random deployment, nodes have to organize themselves as energy efficient as pos...
Jakob Salzmann