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» Clustering Multivariate Normal Distributions
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EVOW
2009
Springer
14 years 2 days ago
On the Parallel Speed-Up of Estimation of Multivariate Normal Algorithm and Evolution Strategies
Motivated by parallel optimization, we experiment EDA-like adaptation-rules in the case of λ large. The rule we use, essentially based on estimation of multivariate normal algorit...
Fabien Teytaud, Olivier Teytaud
CSDA
2011
13 years 8 days ago
An affine invariant multiple test procedure for assessing multivariate normality
: A multiple test procedure for assessing multivariate normality (MVN) that combines a finite set of affine invariant test statistics for MVN is proposed. This combination is base...
Carlos Tenreiro
SSPR
1998
Springer
13 years 9 months ago
Distribution Free Decomposition of Multivariate Data
: We present a practical approach to nonparametric cluster analysis of large data sets. The number of clusters and the cluster centres are automatically derived by mode seeking wit...
Dorin Comaniciu, Peter Meer
ICDM
2009
IEEE
175views Data Mining» more  ICDM 2009»
13 years 3 months ago
Maximum Margin Clustering with Multivariate Loss Function
This paper presents a simple but powerful extension of the maximum margin clustering (MMC) algorithm that optimizes multivariate performance measure specifically defined for clust...
Bin Zhao, James Tin-Yau Kwok, Changshui Zhang
AAAI
2000
13 years 6 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen