spark-instrumented-optimizer/docs/ml-clustering.md

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title: Clustering - spark.ml
displayTitle: Clustering - spark.ml
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In this section, we introduce the pipeline API for [clustering in mllib](mllib-clustering.html).

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## Latent Dirichlet allocation (LDA)

`LDA` is implemented as an `Estimator` that supports both `EMLDAOptimizer` and `OnlineLDAOptimizer`,
and generates a `LDAModel` as the base models. Expert users may cast a `LDAModel` generated by
`EMLDAOptimizer` to a `DistributedLDAModel` if needed.

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Refer to the [Scala API docs](api/scala/index.html#org.apache.spark.ml.clustering.LDA) for more details.

{% include_example scala/org/apache/spark/examples/ml/LDAExample.scala %}
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Refer to the [Java API docs](api/java/org/apache/spark/ml/clustering/LDA.html) for more details.

{% include_example java/org/apache/spark/examples/ml/JavaLDAExample.java %}
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