From 024482bf51e8158eed08a7dc0758f585baf86e1f Mon Sep 17 00:00:00 2001 From: Dongjoon Hyun Date: Mon, 22 Feb 2016 09:52:07 +0000 Subject: [MINOR][DOCS] Fix all typos in markdown files of `doc` and similar patterns in other comments ## What changes were proposed in this pull request? This PR tries to fix all typos in all markdown files under `docs` module, and fixes similar typos in other comments, too. ## How was the this patch tested? manual tests. Author: Dongjoon Hyun Closes #11300 from dongjoon-hyun/minor_fix_typos. --- docs/mllib-clustering.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'docs/mllib-clustering.md') diff --git a/docs/mllib-clustering.md b/docs/mllib-clustering.md index d0be032868..8e724fbf06 100644 --- a/docs/mllib-clustering.md +++ b/docs/mllib-clustering.md @@ -300,7 +300,7 @@ for i in range(2): ## Power iteration clustering (PIC) Power iteration clustering (PIC) is a scalable and efficient algorithm for clustering vertices of a -graph given pairwise similarties as edge properties, +graph given pairwise similarities as edge properties, described in [Lin and Cohen, Power Iteration Clustering](http://www.icml2010.org/papers/387.pdf). It computes a pseudo-eigenvector of the normalized affinity matrix of the graph via [power iteration](http://en.wikipedia.org/wiki/Power_iteration) and uses it to cluster vertices. @@ -786,7 +786,7 @@ This example shows how to estimate clusters on streaming data.
Refer to the [`StreamingKMeans` Scala docs](api/scala/index.html#org.apache.spark.mllib.clustering.StreamingKMeans) for details on the API. -First we import the neccessary classes. +First we import the necessary classes. {% highlight scala %} @@ -837,7 +837,7 @@ ssc.awaitTermination()
Refer to the [`StreamingKMeans` Python docs](api/python/pyspark.mllib.html#pyspark.mllib.clustering.StreamingKMeans) for more details on the API. -First we import the neccessary classes. +First we import the necessary classes. {% highlight python %} from pyspark.mllib.linalg import Vectors -- cgit v1.2.3