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GFKL
2004
Springer
15 years 5 months ago
2004
Springer
Abstract. A method for measuring the density of data sets that contain an unknown number of clusters of unknown sizes is proposed. This method, called Pareto Density Estimation (PD...
CSDA
2008
14 years 12 months ago
2008
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
ISPDC
2007
IEEE
15 years 6 months ago
2007
IEEE
We present a new data partitioning strategy for parallel computing on three interconnected clusters. This partitioning has two advantages over existing partitionings. First it can...
IDA
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Finite mixture models can be used in estimating complex, unknown probability distributions and also in clustering data. The parameters of the models form a complex repres...
DMKD
1997
ACM
15 years 4 months ago
1997
ACM
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...