Github user rnowling commented on a diff in the pull request:
https://github.com/apache/spark/pull/2906#discussion_r19267891
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -91,6 +99,58 @@ def train(cls, rdd, k, maxIterations=100, runs=1,
initializationMode="k-means||"
return KMeansModel([c.toArray() for c in centers])
+class HierarchicalClusteringModel(ClusteringModel):
--- End diff --
The predict method seems to be O(kN) but you can do assignment in O(Nlog k)
time with the tree, right? (N is the number of data points, k is the number of
cluster centers).
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
