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Posted to commits@lucene.apache.org by jb...@apache.org on 2019/12/15 13:28:54 UTC
[lucene-solr] branch visual-guide updated: Visual Guide: Improve
Kmeans docs 4
This is an automated email from the ASF dual-hosted git repository.
jbernste pushed a commit to branch visual-guide
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git
The following commit(s) were added to refs/heads/visual-guide by this push:
new 9d4a983 Visual Guide: Improve Kmeans docs 4
9d4a983 is described below
commit 9d4a983605ee058a1eb4ad1aae0d741d923f459f
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Sun Dec 15 08:28:45 2019 -0500
Visual Guide: Improve Kmeans docs 4
---
solr/solr-ref-guide/src/machine-learning.adoc | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/solr/solr-ref-guide/src/machine-learning.adoc b/solr/solr-ref-guide/src/machine-learning.adoc
index 18550a3..d9e8068 100644
--- a/solr/solr-ref-guide/src/machine-learning.adoc
+++ b/solr/solr-ref-guide/src/machine-learning.adoc
@@ -432,7 +432,7 @@ for examining and visualizing the clusters and centroids.
==== Clustered Scatter Plot
-In this example we'll again be clustering 2D lat/lon points of rat sightings. But unlike the DBSCAN example, K-means clustering
+In this example we'll again be clustering 2D lat/lon points of rat sightings. But unlike the DBSCAN example, k-means clustering
does not on its own
perform any noise reduction. So in order to reduce the noise a smaller random sample is selected from the data than was used
for the DBSCAN example.