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CLASSIFICATION
2008
111views more  CLASSIFICATION 2008»
15 years 4 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
BMCBI
2007
149views more  BMCBI 2007»
15 years 4 months ago
A unified framework for finding differentially expressed genes from microarray experiments
Background: This paper presents a unified framework for finding differentially expressed genes (DEGs) from the microarray data. The proposed framework has three interrelated modul...
Jahangheer S. Shaik, Mohammed Yeasin
SAINT
2003
IEEE
15 years 10 months 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...
144
Voted
CJ
1998
118views more  CJ 1998»
15 years 4 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
156
Voted
IJCAI
2007
15 years 6 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