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CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 8 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
STOC
2002
ACM
103views Algorithms» more  STOC 2002»
14 years 9 months ago
Approximate clustering via core-sets
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
Mihai Badoiu, Sariel Har-Peled, Piotr Indyk
TCS
1998
13 years 8 months ago
Conflict-Free Channel Set Assignment for an Optical Cluster Interconnection Network Based on Rotator Digraphs
Recently a class of scalable multi-star optical networks is proposed in [2]. In this class of networks nodes are grouped into clusters. Each cluster employs a separate pair of bro...
Peng-Jun Wan
AAAI
2007
13 years 11 months ago
A Kernel Approach to Comparing Distributions
We describe a technique for comparing distributions without the need for density estimation as an intermediate step. Our approach relies on mapping the distributions into a Reprod...
Arthur Gretton, Karsten M. Borgwardt, Malte J. Ras...
CSDA
2007
103views more  CSDA 2007»
13 years 8 months ago
Cluster-wise assessment of cluster stability
Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same clustering, some clusters m...
Christian Hennig