Using Workbench Command

FILTER CLUSTERS BY SURFACE AREA
   wb_command -metric-find-clusters
      <surface> - the surface to compute on
      <metric-in> - the input metric
      <value-threshold> - threshold for data values
      <minimum-area> - threshold for cluster area, in mm^2
      <metric-out> - output - the output metric

      [-less-than] - find values less than <value-threshold>, rather than
         greater

      [-roi] - select a region of interest
         <roi-metric> - the roi, as a metric

      [-corrected-areas] - vertex areas to use instead of computing them from
         the surface
         <area-metric> - the corrected vertex areas, as a metric

      [-column] - select a single column
         <column> - the column number or name

      [-size-ratio] - ignore clusters smaller than a given fraction of the
         largest cluster in map
         <ratio> - fraction of the largest cluster's area

      [-distance] - ignore clusters further than a given distance from the
         largest cluster
         <distance> - how far from the largest cluster a cluster can be, edge
            to edge, in mm

      [-start] - start labeling clusters from a value other than 1
         <startval> - the value to give the first cluster found

      Outputs a metric with nonzero integers for all vertices within a large
      enough cluster, and zeros elsewhere.  The integers denote cluster
      membership (by default, first cluster found will use value 1, second
      cluster 2, etc).  Cluster values are not reused across maps of the
      output, but instead keep counting up.  By default, values greater than
      <value-threshold> are considered to be in a cluster, use -less-than to
      test for values less than the threshold.  To apply this as a mask to the
      data, or to do more complicated thresholding, see -metric-math.