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From sethah <>
Subject [GitHub] spark pull request: [SPARK-14340][EXAMPLE][DOC] Update Examples an...
Date Mon, 09 May 2016 15:28:12 GMT
Github user sethah commented on a diff in the pull request:
    --- Diff: docs/ ---
    @@ -104,4 +104,48 @@ Refer to the [Java API docs](api/java/org/apache/spark/ml/clustering/LDA.html)
     {% include_example java/org/apache/spark/examples/ml/ %}
    \ No newline at end of file
    +## Bisecting k-means
    +Bisecting k-means is a kind of [hierarchical clustering](
using a
    +divisive (or "top-down") approach: all observations start in one cluster, and splits
are performed recursively as one
    +moves down the hierarchy.
    +Bisecting K-means can often be much faster than regular K-means, but it will generally
produce a different clustering.
    +`BisectingKMeans` is implemented as an `Estimator` and generates a `BisectingKMeansModel`
as the base model.
    +The implementation in ML has the following parameters:
    +* *k*: the desired number of leaf clusters (default: 4). The actual number could be smaller
if there are no divisible leaf clusters.
    --- End diff --
    We don't seem to be listing the params in the ML user guides like was previously done
in mllib. I also think this is hard to maintain: what if the default values change or new
params are added?

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