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--- Diff:
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---
@@ -149,6 +165,18 @@ private[clustering] object
Github user viirya commented on a diff in the pull request:
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@@ -149,6 +165,18 @@ private[clustering] object
Github user mengxr commented on the pull request:
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LGTM. Merged into master. Thanks!
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Github user asfgit closed the pull request at:
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Github user mengxr commented on a diff in the pull request:
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Github user mengxr commented on a diff in the pull request:
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--- Diff:
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Github user mengxr commented on a diff in the pull request:
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--- Diff:
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Github user mengxr commented on a diff in the pull request:
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--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
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@@ -43,10 +43,12 @@ class PowerIterationClusteringModel(
Github user mengxr commented on a diff in the pull request:
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--- Diff:
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--- Diff:
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@@ -70,6 +72,17 @@ class PowerIterationClustering
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Github user viirya commented on the pull request:
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Looks like the test failed on an unrelated unit test. Please test it again.
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GitHub user viirya opened a pull request:
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[SPARK-5512][Mllib] Run the PIC algorithm with initial vector suggected by
the PIC paper
As suggested by the paper of Power Iteration Clustering, it is useful to
set the initial vector v0 as the
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/4301#issuecomment-72373979
@viirya If that works better than a randomized vector in general, we can
replace the current initialization. We set it to a random vector to guarantee
that if it far from
Github user viirya commented on the pull request:
https://github.com/apache/spark/pull/4301#issuecomment-72414811
@mengxr I think it is better to keep both and leave it as an option users
can switch.
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