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Diffstat (limited to 'docs/ml-clustering.md')
| -rw-r--r-- | docs/ml-clustering.md | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/docs/ml-clustering.md b/docs/ml-clustering.md index 0d69bf67df..a0955a3855 100644 --- a/docs/ml-clustering.md +++ b/docs/ml-clustering.md @@ -86,7 +86,6 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering. </div> </div> - ## Latent Dirichlet allocation (LDA) `LDA` is implemented as an `Estimator` that supports both `EMLDAOptimizer` and `OnlineLDAOptimizer`, @@ -116,8 +115,8 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering. {% include_example python/ml/lda_example.py %} </div> </div> -## Bisecting k-means +## Bisecting k-means Bisecting k-means is a kind of [hierarchical clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering) using a divisive (or "top-down") approach: all observations start in one cluster, and splits are performed recursively as one @@ -148,5 +147,4 @@ Refer to the [Python API docs](api/python/pyspark.ml.html#pyspark.ml.clustering. {% include_example python/ml/bisecting_k_means_example.py %} </div> - </div> |