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Posted to commits@lucene.apache.org by jb...@apache.org on 2019/10/01 21:08:28 UTC

[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105: Update machine learning docs 8

This is an automated email from the ASF dual-hosted git repository.

jbernste pushed a commit to branch SOLR-13105-visual
in repository https://gitbox.apache.org/repos/asf/lucene-solr.git


The following commit(s) were added to refs/heads/SOLR-13105-visual by this push:
     new 2936d1c  SOLR-13105: Update machine learning docs 8
2936d1c is described below

commit 2936d1c17fe4074eb0c3d96d79322be892b5ab2d
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Tue Oct 1 17:08:18 2019 -0400

    SOLR-13105: Update machine learning docs 8
---
 solr/solr-ref-guide/src/machine-learning.adoc | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/solr/solr-ref-guide/src/machine-learning.adoc b/solr/solr-ref-guide/src/machine-learning.adoc
index 1b104f7..75281a4 100644
--- a/solr/solr-ref-guide/src/machine-learning.adoc
+++ b/solr/solr-ref-guide/src/machine-learning.adoc
@@ -590,19 +590,19 @@ is then used to visualize the clusters as a scatter chart.
 image::images/math-expressions/2Dcluster.png[]
 
 The scatter plot above shows each lat/lon point plotted on a Euclidean plain. Each cluster is shown in
-a different. This plot provides a significant amount of information about size, shape and dispersion
-of the different clusters.
+a different color. This plot provides a significant amount of information about the size, shape and dispersion
+of the clusters.
 
 The centroids of each cluster can then be easily plotted on a *map* to visualize the center of the
 clusters. In the example below the centroids are extracted from the clusters using the `getCentroids`
-function, which returns a matrix of the centroids. In example the matrix contains 2D lan/lon points.
+function, which returns a matrix of the centroids.
 
-The `colAt` function is then used to extract the latitude and longitude columns by index from the matrix, which
-are plotted using `zplot`. A map visualization is used display the centroid clusters.
+In the example the centroids matrix contains 2D lan/lon points. The `colAt` function is then used to extract the latitude and longitude columns by index from the matrix, which
+are plotted using `zplot`. A map visualization is used to display the centroid clusters.
 
 image::images/math-expressions/2Dcentroids.png[]
 
-The map can be zoomed to understand clearly where the center of clusters lie on the map.
+The map can be zoomed to understand clearly where the center of clusters lie.
 
 image::images/math-expressions/centroidzoom.png[]