I just committed the patch with numClusters = 3 in DisplaySpectralKMeans.
Jeff
On 12/28/11 9:25 PM, Shannon Quinn wrote:
Sorry for replying via the dev list, but I am without Internet access beyond my
phone. Yes, unless anyone testing can find issues with this patch (or with the
one Grant posted earlier, as mine contains his), it is meant to be committed.
Due to the aforementioned lack of Internet, if someone could commit this for me
that's be fantastic.
On Dec 28, 2011, at 17:13, "Jeff Eastman (Commented) (JIRA)"<j...@apache.org>
wrote:
[
https://issues.apache.org/jira/browse/MAHOUT-524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13176876#comment-13176876
]
Jeff Eastman commented on MAHOUT-524:
-------------------------------------
Shannon, is this patch ready to commit? I've installed it and verified that
DisplaySpectralKMeans is indeed finding clusters. By increasing the numClusters
from 2 to 3 it now does a credible job of finding the 3 clusters present in the
generated data.
DisplaySpectralKMeans example fails
-----------------------------------
Key: MAHOUT-524
URL: https://issues.apache.org/jira/browse/MAHOUT-524
Project: Mahout
Issue Type: Bug
Components: Clustering
Affects Versions: 0.4, 0.5
Reporter: Jeff Eastman
Assignee: Shannon Quinn
Labels: clustering, k-means, visualization
Fix For: 0.6
Attachments: EclipseLog_20110918.txt, MAHOUT-524.patch,
MAHOUT-524.patch, MAHOUT-524.patch, SpectralKMeans_fail_20110919.txt, aff.txt,
raw.txt, screenshot-1.jpg, spectralkmeans.png
I've committed a new display example that attempts to push the standard mixture
of models data set through spectral k-means. After some tweaking of
configuration arguments and a bug fix in EigenCleanupJob it runs spectral
k-means to completion. The display example is expecting 2-d clustered points
and the example is producing 5-d points. Additional I/O work is needed before
this will play with the rest of the clustering algorithms.
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