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» A Method for Dynamic Clustering of Data
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INFORMATICALT
2002
136views more  INFORMATICALT 2002»
14 years 11 months ago
Comparison of Poisson Mixture Models for Count Data Clusterization
Abstract. Five methods for count data clusterization based on Poisson mixture models are described. Two of them are parametric, the others are semi-parametric. The methods emlploy ...
Jurgis Susinskas, Marijus Radavicius
SIGMOD
2007
ACM
186views Database» more  SIGMOD 2007»
15 years 12 months ago
An efficient and accurate method for evaluating time series similarity
A variety of techniques currently exist for measuring the similarity between time series datasets. Of these techniques, the methods whose matching criteria is bounded by a specifi...
Michael D. Morse, Jignesh M. Patel
VLSID
2004
IEEE
107views VLSI» more  VLSID 2004»
16 years 6 days ago
Performance Analysis of Inter Cluster Communication Methods in VLIW Architecture
With increasing demands for high performance by embedded systems, especially by digital signal processing applications, embedded processors must increase available instruction lev...
Sourabh Saluja, Anshul Kumar
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
15 years 12 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
CVPR
2003
IEEE
16 years 1 months ago
Robust Data Clustering
We address the problem of robust clustering by combining data partitions (forming a clustering ensemble) produced by multiple clusterings. We formulate robust clustering under an ...
Ana L. N. Fred, Anil K. Jain