---
layout: global
title: Clustering - ML
displayTitle: <a href="ml-guide.html">ML</a> - Clustering
---

In this section, we introduce the pipeline API for [clustering in mllib](mllib-clustering.html).

## 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.

<div class="codetabs">

<div data-lang="scala" markdown="1">

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 %}
</div>

<div data-lang="java" markdown="1">

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 %}
</div>

</div>