[SPARK-15305][ML][DOC] spark.ml document Bisectiong k-means has the incorrect format
## What changes were proposed in this pull request? (Please fill in changes proposed in this fix) The generated document has the incorrect format for biseckmeans. ![bug](https://cloud.githubusercontent.com/assets/5033592/15233120/d910098a-185a-11e6-901d-44aeafc8a011.jpg) ## How was this patch tested? (Please explain how this patch was tested. E.g. unit tests, integration tests, manual tests) Fix the formatting. ![fix](https://cloud.githubusercontent.com/assets/5033592/15233136/fce2ccd0-185a-11e6-9ded-14d71da4bdab.jpg) Author: wm624@hotmail.com <wm624@hotmail.com> Closes #13083 from wangmiao1981/doc.
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@ -86,7 +86,6 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering.
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</div>
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</div>
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## Latent Dirichlet allocation (LDA)
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`LDA` is implemented as an `Estimator` that supports both `EMLDAOptimizer` and `OnlineLDAOptimizer`,
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@ -116,8 +115,8 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering.
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{% include_example python/ml/lda_example.py %}
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</div>
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</div>
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## Bisecting k-means
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## Bisecting k-means
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Bisecting k-means is a kind of [hierarchical clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering) using a
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divisive (or "top-down") approach: all observations start in one cluster, and splits are performed recursively as one
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@ -148,5 +147,4 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering.
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{% include_example python/ml/bisecting_k_means_example.py %}
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</div>
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</div>
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