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» Possibilistic Clustering in Feature Space
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LCN
2003
IEEE
14 years 1 months ago
Using a Gigabit Ethernet Cluster as a Distributed Disk Array with Multiple Fault Tolerance
A cluster of PCs can be seen as a collection of networked low cost disks; such a collection can be operated by proper so as to provide the abstraction of a single, larger block de...
Alessandro Di Marco, Giovanni Chiola, Giuseppe Cia...
NIPS
2000
13 years 9 months ago
A Support Vector Method for Clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladi...
SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
13 years 6 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
PRL
2008
161views more  PRL 2008»
13 years 7 months ago
Automatic kernel clustering with a Multi-Elitist Particle Swarm Optimization Algorithm
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
Swagatam Das, Ajith Abraham, Amit Konar
ICDE
2008
IEEE
158views Database» more  ICDE 2008»
14 years 9 months ago
CARE: Finding Local Linear Correlations in High Dimensional Data
Finding latent patterns in high dimensional data is an important research problem with numerous applications. Existing approaches can be summarized into 3 categories: feature selec...
Xiang Zhang, Feng Pan, Wei Wang