Author: squinn
Date: Mon Mar 11 19:15:28 2013
New Revision: 1455287
URL: http://svn.apache.org/r1455287
Log:
Updated class javadocs.
Modified:
mahout/trunk/core/src/main/java/org/apache/mahout/clustering/spectral/kmeans/SpectralKMeansDriver.java
Modified:
mahout/trunk/core/src/main/java/org/apache/mahout/clustering/spectral/kmeans/SpectralKMeansDriver.java
URL:
http://svn.apache.org/viewvc/mahout/trunk/core/src/main/java/org/apache/mahout/clustering/spectral/kmeans/SpectralKMeansDriver.java?rev=1455287&r1=1455286&r2=1455287&view=diff
==============================================================================
---
mahout/trunk/core/src/main/java/org/apache/mahout/clustering/spectral/kmeans/SpectralKMeansDriver.java
(original)
+++
mahout/trunk/core/src/main/java/org/apache/mahout/clustering/spectral/kmeans/SpectralKMeansDriver.java
Mon Mar 11 19:15:28 2013
@@ -45,19 +45,8 @@ import org.apache.mahout.math.hadoop.sto
/**
- * Implementation of the EigenCuts spectral clustering algorithm.
- * This implementation is for testing and debugging.
- *
- * Using the variables below the user can:
- * select to use either SSVDSolver or DistributedLanczosSolver for
the Eigen decomposition.
- * change the number of iterations in SSVD
- * choose whether to keep the temp files that are created during a
job
- * have the output printed to a text file
- *
- * All of the steps involved in testing have timers built around them and the
result is printed at
- * the top of the output text file.
- *
- * See the README file for a description of the algorithm, testing results,
and other details.
+ * Performs spectral k-means clustering on the top k eigenvectors of the input
+ * affinity matrix.
*/
public class SpectralKMeansDriver extends AbstractJob {
