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ICDM
2006
IEEE
145views Data Mining» more  ICDM 2006»
15 years 11 months ago
Stability Region Based Expectation Maximization for Model-based Clustering
In spite of the initialization problem, the ExpectationMaximization (EM) algorithm is widely used for estimating the parameters in several data mining related tasks. Most popular ...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 10 months ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
EDBT
2006
ACM
116views Database» more  EDBT 2006»
16 years 5 months ago
VICO: Visualizing Connected Object Orderings
In modern databases, complex objects like multimedia data, proteins or text objects can be modeled in a variety of representations and can be decomposed into multiple instances of ...
Stefan Brecheisen, Hans-Peter Kriegel, Matthias Sc...
142
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NIPS
2001
15 years 6 months ago
Agglomerative Multivariate Information Bottleneck
The Information bottleneck method is an unsupervised non-parametric data organization technique. Given a joint distribution
Noam Slonim, Nir Friedman, Naftali Tishby
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
15 years 11 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton