Methods in org.apache.mahout.clustering.meanshift with parameters of type IKernelProfile |
static org.apache.hadoop.fs.Path |
MeanShiftCanopyDriver.buildClusters(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path clustersIn,
org.apache.hadoop.fs.Path output,
DistanceMeasure measure,
IKernelProfile kernelProfile,
double t1,
double t2,
double convergenceDelta,
int maxIterations,
boolean runSequential,
boolean runClustering)
Iterate over the input clusters to produce the next cluster directories for
each iteration |
static List<MeanShiftCanopy> |
MeanShiftCanopyClusterer.clusterPoints(Iterable<Vector> points,
DistanceMeasure measure,
IKernelProfile aKernelProfileDerivative,
double convergenceThreshold,
double t1,
double t2,
int numIter)
This is the reference mean-shift implementation. |
static void |
MeanShiftCanopyDriver.run(org.apache.hadoop.conf.Configuration conf,
org.apache.hadoop.fs.Path input,
org.apache.hadoop.fs.Path output,
DistanceMeasure measure,
IKernelProfile kernelProfile,
double t1,
double t2,
double convergenceDelta,
int maxIterations,
boolean inputIsCanopies,
boolean runClustering,
boolean runSequential)
Run the job where the input format can be either Vectors or Canopies. |