[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 <dongjoon@apache.org>

Closes #11300 from dongjoon-hyun/minor_fix_typos.

1 files changed, 3 insertions, 3 deletions

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.
 <div data-lang="scala" markdown="1">
 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()
 <div data-lang="python" markdown="1">
 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