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https://issues.apache.org/jira/browse/MAHOUT-984?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13232455#comment-13232455
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Saikat Kanjilal commented on MAHOUT-984:
----------------------------------------
Paritosh,
I am in the middle of the refactoring and had some questions, I removed the
clusterDataMR and clusterDataSeq and replaced this with the clusterData similar
to what you had setup for the kmeans, however for the fuzzy kmeans there are
two additional parameters convergenceDelta and m, I was wondering how and where
to take these parameters into account, the signature of the new clusterData
function is shown below:
public static void clusterData(Path input,
Path clustersIn,
Path output,
DistanceMeasure measure,
double convergenceDelta,
float m,
boolean emitMostLikely,
double threshold,
boolean runSequential)
throws IOException, ClassNotFoundException, InterruptedException {
if (log.isInfoEnabled()) {
log.info("Running Clustering");
log.info("Input: {} Clusters In: {} Out: {} Distance: {}", new
Object[] {input, clustersIn, output, measure});
}
ClusterClassifier.writePolicy(new FuzzyKMeansClusteringPolicy(),
clustersIn);
ClusterClassificationDriver.run(input, output, new Path(output,
CLUSTERED_POINTS_DIRECTORY),
threshold, true, runSequential);
}
Let me know your thoughts
Thanks
> Refactor Fuzzy K Means Clustering into a separate post process with outlier
> pruning
> -----------------------------------------------------------------------------------
>
> Key: MAHOUT-984
> URL: https://issues.apache.org/jira/browse/MAHOUT-984
> Project: Mahout
> Issue Type: Sub-task
> Components: Clustering
> Affects Versions: 0.6
> Reporter: Paritosh Ranjan
> Assignee: Paritosh Ranjan
> Labels: clustering
> Fix For: 0.7
>
>
> Use ClusterClassificationDriver to refactor clustering out of
> FuzzyKMeansDriver with outlier pruning support.
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