compute the standard deviation of the representative points for the given cluster . store these in stdevs , indexed by ci concode_field_sep DistanceMeasure measure concode_elem_sep Map<Integer,Double> stDevs concode_elem_sep Map<Integer,Map<Integer,Double>> minimumDistances concode_elem_sep Double interClusterDensity concode_elem_sep Logger log concode_elem_sep Map<Integer,List<VectorWritable>> representativePoints concode_elem_sep List<Cluster> clusters concode_elem_sep Map<Integer,Map<Integer,Double>> interClusterDensities concode_elem_sep Map<Integer,Map<Integer,int[]>> closestRepPointIndices concode_field_sep Vector midpointVector concode_elem_sep double getCDbw concode_elem_sep List<Cluster> loadClusters concode_elem_sep double density concode_elem_sep Map<Integer,Map<Integer,Double>> minimumDistances concode_elem_sep double separation concode_elem_sep Map<Integer,Map<Integer,Double>> interClusterDensities concode_elem_sep double interClusterDensity concode_elem_sep Vector intraClusterDensities concode_elem_sep double minimumDistance concode_elem_sep double intraClusterDensity
void function ( int arg0 ) { List < VectorWritable > loc0 = representativePoints . get ( arg0 ) ; GaussianAccumulator loc1 = new OnlineGaussianAccumulator ( ) ; for ( VectorWritable loc2 : loc0 ) { loc1 . observe ( loc2 . get ( ) , 1.0 ) ; } loc1 . compute ( ) ; double loc3 = loc1 . getAverageStd ( ) ; stDevs . put ( arg0 , loc3 ) ; }