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131
Voted
CLASSIFICATION
2008
15 years 3 months ago
2008
: 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...
123
Voted
CSDA
2007
15 years 3 months ago
2007
A linear multivariate measurement error model AX = B is considered. The errors in A B are row-wise finite dependent, and within each row, the errors may be correlated. Some of th...
126
Voted
KDD
2005
ACM
16 years 4 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
148
Voted
CSB
2005
IEEE
15 years 9 months ago
2005
IEEE
DNA microarray experiments generate a substantial amount of information about global gene expression. Gene expression profiles can be represented as points in multi-dimensional sp...
124
Voted
ICANN
2009
Springer
15 years 8 months ago
2009
Springer
This paper proposes a clustering method SOMAK, which is composed by Self-Organizing Maps (SOM) followed by the Ant K-means (AK) algorithm. The aim of this method is not to find an...