[lucene-solr] branch SOLR-13105-visual updated: SOLR-13105: machine learning docs 25

[jb...@apache.org]

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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 1db2c72  SOLR-13105: machine learning docs 25
1db2c72 is described below

commit 1db2c728bdb67aead01e02f5e2d6f4ee3401ca8b
Author: Joel Bernstein <jb...@apache.org>
AuthorDate: Thu Oct 3 09:31:25 2019 -0400

    SOLR-13105: machine learning docs 25
---
 solr/solr-ref-guide/src/machine-learning.adoc | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/solr/solr-ref-guide/src/machine-learning.adoc b/solr/solr-ref-guide/src/machine-learning.adoc
index cf8e95e..d32652b 100644
--- a/solr/solr-ref-guide/src/machine-learning.adoc
+++ b/solr/solr-ref-guide/src/machine-learning.adoc
@@ -590,7 +590,7 @@ In this example the `random` function draws a sample of records from the nyc311
 the complaint description matches "rat sighting" and latitude is populated in the record. The latitude and longitude fields
 are then vectorized and added as rows to a matrix. The matrix is transposed so each row contains a single latitude, longitude
 point. The `kmeans` function is then used to cluster the latitude and longitude points into 21 clusters. The `zplot` function
-is then used to visualize the clusters as a scatter chart.
+is then used to visualize the clusters as a scatter plot.
 
 image::images/math-expressions/2DCluster1.png[]
 
@@ -607,7 +607,7 @@ function, which returns a matrix of the centroids.
 
 The centroids matrix contains 2D lan/lon points. The `colAt` function can then be used
 to extract the latitude and longitude columns by index from the matrix so they can be
-plotted with `zplot`. A map visualization is used below to display the centroid clusters.
+plotted with `zplot`. A map visualization is used below to display the centroids.
 
 
 image::images/math-expressions/centroidplot.png[]