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147
Voted
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 9 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
121
Voted
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 9 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
157
Voted
SAC
2005
ACM
15 years 9 months ago
A hybrid approach for multiresolution modeling of large-scale scientific data
Simulations of complex scientific phenomena involve the execution of massively parallel computer programs. These simulation programs generate large-scale multidimensional data set...
Tina Eliassi-Rad, Terence Critchlow
101
Voted
PKDD
2007
Springer
87views Data Mining» more  PKDD 2007»
15 years 9 months ago
Visual Exploration of Genomic Data
Abstract. In this study, we present methods for comparative visualization of DNA sequences in two dimensions. First, we illustrate a transformation of gene sequences into numerical...
Michail Vlachos, Bahar Taneri, Eamonn J. Keogh, Ph...
124
Voted
PKDD
2007
Springer
193views Data Mining» more  PKDD 2007»
15 years 9 months ago
Learning Multi-dimensional Functions: Gas Turbine Engine Modeling
Abstract. This paper shows how multi-dimensional functions, describing the operation of complex equipment, can be learned. The functions are points in a shape space, each produced ...
Chris Drummond