wolffd@0: wolffd@0: wolffd@0: wolffd@0: Netlab Reference Manual mdndist2 wolffd@0: wolffd@0: wolffd@0: wolffd@0:

mdndist2 wolffd@0:

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wolffd@0: Purpose wolffd@0:

wolffd@0: Calculates squared distance between centres of Gaussian kernels and data wolffd@0: wolffd@0:

wolffd@0: Synopsis wolffd@0:

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wolffd@0: n2 = mdndist2(mixparams, t)
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wolffd@0: Description wolffd@0:

wolffd@0: n2 = mdndist2(mixparams, t) takes takes the centres of the Gaussian wolffd@0: contained in wolffd@0: mixparams and the target data matrix, t, and computes the squared wolffd@0: Euclidean distance between them. If t has m rows and n wolffd@0: columns, then the centres field in wolffd@0: the mixparams structure should have m rows and wolffd@0: n*mixparams.ncentres columns: the centres in each row relate to wolffd@0: the corresponding row in t. wolffd@0: The result has m rows and mixparams.ncentres columns. wolffd@0: The i, jth entry is the wolffd@0: squared distance from the ith row of x to the jth wolffd@0: centre in the ith row of mixparams.centres. wolffd@0: wolffd@0:

wolffd@0: See Also wolffd@0:

wolffd@0: mdnfwd, mdnprob

wolffd@0: Pages: wolffd@0: Index wolffd@0:

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David J Evans (1998) wolffd@0: wolffd@0: wolffd@0: