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» Data Clustering: A Review
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CLASSIFICATION
2008
111views more  CLASSIFICATION 2008»
13 years 7 months ago
Probabilistic D-Clustering
: We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of clus...
Adi Ben-Israel, Cem Iyigun
SAINT
2003
IEEE
14 years 27 days ago
Bayesian Analysis of Online Newspaper Log Data
In this paper we address the problem of analyzing web log data collected at a typical online newspaper site. We propose a two-way clustering technique based on probability theory....
Hannes Wettig, Jussi Lahtinen, Tuomas Lepola, Petr...
CJ
1998
118views more  CJ 1998»
13 years 7 months ago
Least-Squares Structuring, Clustering and Data Processing Issues
Approximation structuring clustering is an extension of what is usually called square-error clustering" onto various cluster structures and data formats. It appears to be not...
Boris Mirkin
IJCAI
2007
13 years 9 months ago
Computation of Initial Modes for K-modes Clustering Algorithm Using Evidence Accumulation
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
Shehroz S. Khan, Shri Kant
ALT
2009
Springer
14 years 4 months ago
Agnostic Clustering
Motivated by the principle of agnostic learning, we present an extension of the model introduced by Balcan, Blum, and Gupta [3] on computing low-error clusterings. The extended mod...
Maria-Florina Balcan, Heiko Röglin, Shang-Hua...