GitHub user mgaido91 opened a pull request:
https://github.com/apache/spark/pull/18538
[SPARK-14516][ML] Adding ClusteringEvaluator with the implementation of
Cosine silhouette and squared Euclidean silhouette.
## What changes were proposed in this pull request?
This PR adds the ClusteringEvaluator Evaluator which contains two metrics:
- **cosineSilhouette**: the Silhouette measure using the cosine distance;
- **squaredSilhouette**: the Silhouette measure using the squared
Euclidean distance.
The implementation of the two metrics refers to the algorithm proposed and
explained
[here](https://drive.google.com/file/d/0B0Hyo%5f%5fbG%5f3fdkNvSVNYX2E3ZU0/view).
These algorithms have been thought for a distributed and parallel environment,
thus they have reasonable performance, unlike a naive Silhouette implementation
following its definition.
## How was this patch tested?
The patch has been tested with the additional unit tests added (comparing
the results with the ones provided by [Python sklearn
library](http://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html)).
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/mgaido91/spark SPARK-14516
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18538.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18538
----
commit 64e17b4db825f85ee19d30ca38cba887633c6900
Author: Marco Gaido <mga...@hortonworks.com>
Date: 2017-06-30T15:05:17Z
[SPARK-14516] Adding ClusteringEvaluator with the implementation of Cosine
silhouette and squared Euclidean silhouette.
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