Spike Train Analysis Toolkit Documentation  Spike Train Analysis Toolkit Function Reference  metricclust

Spike Train Analysis Toolkit

metricclust

METRICCLUST Cluster spike trains based on distance matrix.
   CM = METRICCLUST(D,CATEGORIES,M,OPTS) uses a simple clustering
   method to classify spike trains based on the distance matrix
   D. CATEGORIES is a vector that gives the category indices of the
   spike trains. M is the number of categories. CM is a square matrix
   where the columns correspond to the actual classes and the rows
   correspond to the assigned classes.

   The options and parameters for this function are:
      OPTS.clustering_exponent: A constant that controls the
         clustering. Negative values emphasize smaller distances
         and positive values emphasize larger distances. The
         default is -2.

   CM = METRICCLUST(D,CATEGORIES,M) uses the default options and parameters.

   [CM,OPTS_USED] = METRICCLUST(D,CATEGORIES,M,OPTS) or
   [CM,OPTS_USED] = METRICCLUST(D,CATEGORIES,M,OPTS) additionally
   return the options used.
 
   See also METRICOPEN, METRICDIST.

Cross-reference information

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