You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@mahout.apache.org by is...@apache.org on 2013/11/21 12:18:21 UTC
svn commit: r1544120 -
/mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext
Author: isabel
Date: Thu Nov 21 11:18:20 2013
New Revision: 1544120
URL: http://svn.apache.org/r1544120
Log:
MAHOUT-1245 - fix broken image links
Modified:
mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext
Modified: mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext
URL: http://svn.apache.org/viewvc/mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext?rev=1544120&r1=1544119&r2=1544120&view=diff
==============================================================================
--- mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext (original)
+++ mahout/site/mahout_cms/trunk/content/users/clustering/mean-shift-clustering.mdtext Thu Nov 21 11:18:20 2013
@@ -141,7 +141,7 @@ The points are generated as follows:
In the first image, the points are plotted and the 3-sigma boundaries of
their generator are superimposed.
-
+
In the second image, the resulting clusters (k=3) are shown superimposed
upon the sample data. In this image, each cluster renders in a different
@@ -150,11 +150,11 @@ centers determined by the algorithm. Mea
clustering this data, though by its design the cluster membership is unique
and the clusters do not overlap.
-
+
The third image shows the results of running Mean Shift on a different data
set (see [Dirichlet Process Clustering](dirichlet-process-clustering.html)
for details) which is generated using asymmetrical standard deviations.
Mean Shift does an excellent job of clustering this data set too.
-
\ No newline at end of file
+
\ No newline at end of file