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---
layout: global
title: Clustering - spark.ml
displayTitle: Clustering - spark.ml
---
In this section, we introduce the pipeline API for [clustering in mllib](mllib-clustering.html).
**Table of Contents**
* This will become a table of contents (this text will be scraped).
{:toc}
## 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>
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