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As recently published in Science (see reference)
Simple and effective means of clustering any data for which a similarity matrix can be constructed. Does not require similarity matrix meet the standards for a metric. The algorithm applies in cases where the similarity matrix is not symmetric (the distance from point i to j can be different from j to i). And it does not require triangular equalities (e.g. the hypoteneus can be less...
Second release of Linstats, a toolbox for building, testing and making statistical inferences from linear models. There are many features in this toolbox that are not available in the matlab statistical toolbox including n-way ANACOVA and n-way...
A toolkit for Gaussian mixtures.
flexible tools for:
Generating univariate, multivariate, or mixtures of gaussians
Interactive viewing tools allows viewing of multidimensional data and models. Initialize models, add and remove...
LinStats is a collection of classes, functions and data that are useful for representing, solving and analyzing linear statistical models. LinStats has been updated to use a new object based approach to support incremental model-building and more...
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