new file:   +LocalizationPatterns/BuildCentroidCluster.m
  This function takes the results from the primary cell clustering obtained
  with GeneratePrimaryCellClusters.m and saves the output of the centroid
  clustering that can be then used to classify cells with ClassifyAllCells.m

new file:   +LocalizationPatterns/ClassifyAllCells.m
   Classifies single cells using the results of the centroid
   clustering from the function BuildCentroidCluster.m

new file:   +LocalizationPatterns/EstimateDataDensity.m
  Estimates the density of the data prior to the data sampling. This is done
  to maximize the phenotypes of the cells sampled.

new file:   +LocalizationPatterns/EvaluteSettingsFile.m
  This function evaluates the setting file for cell clustering and pattern
  localization.

new file:   +LocalizationPatterns/GeneratePrimaryCellClusters.m
  This function samples single cells data according to parameters given by
  a settings file and generated the primary cell clustering. It saves the
  clustering into a results file recording the iteration number. Look at the
  function's help for details on the inputs and outputs.

new file:   +LocalizationPatterns/SubSampleCells.m
  Generate the cell sampling according to the data density calculated with
  EstimateDataDensity.m

new file:   +LocalizationPatterns/adjrand.m
   Returns the adjusted rand index for partitions P1 and P2 for the same
   data set. Taken from the Computational Statistics Toolbox, V2.

new file:   ExampleScriptForLocalizationPatternIdentification.m
  Example script to run the localization pattern analysis.

new file:   FindPatternExampleSettingsFile.txt
  Example settings file for localization pattern analysis.