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[SPARK-8018][MLlib]KMeans should accept initial cluster centers as param #6737

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[SPARK-8018][MLlib]KMeans should accept initial cluster centers as param #6737

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6959861
Accept initial cluster centers in KMeans
FlytxtRnD Jun 10, 2015
e9c35d7
Remove getInitialModel and match cluster count criteria
FlytxtRnD Jun 11, 2015
16f1b53
Merge branch 'Kmeans-8018', remote-tracking branch 'upstream/master' …
FlytxtRnD Jun 15, 2015
cd5dc5c
Merge remote-tracking branch 'upstream/master' into Kmeans-8018
FlytxtRnD Jun 19, 2015
3f5fc8e
test case modified and one runs condition added
FlytxtRnD Jun 19, 2015
582e6d9
Merge remote-tracking branch 'upstream/master' into Kmeans-8018
FlytxtRnD Jun 22, 2015
60c8ce2
ignore runs parameter and initialModel test suite changed
FlytxtRnD Jun 22, 2015
714acb5
added numRuns
FlytxtRnD Jun 25, 2015
242ead1
corrected == to === in assert
FlytxtRnD Jun 29, 2015
e721dfe
Merge remote-tracking branch 'upstream/master' into Kmeans-8018
FlytxtRnD Jun 29, 2015
07f8554
remove setRuns from setIntialModel
FlytxtRnD Jun 30, 2015
d12336e
numRuns variable modifications
FlytxtRnD Jul 3, 2015
06d13ef
numRuns corrected
FlytxtRnD Jul 6, 2015
c446c58
documentation and numRuns warning change
FlytxtRnD Jul 8, 2015
ef95ee2
style correction
FlytxtRnD Jul 14, 2015
94b56df
style correction
FlytxtRnD Jul 14, 2015
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style correction
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@FlytxtRnD
FlytxtRnD committed Jul 14, 2015
commit ef95ee28466be9870eba5ea6cf1afcca8b7345a5
11 changes: 6 additions & 5 deletions mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -209,12 +209,13 @@ class KMeans private (
val initStartTime = System.nanoTime()

// Only one run is allowed when initialModel is given
val numRuns = if (initialModel.nonEmpty){
if (runs >1 ) logWarning("Ignoring runs; one run is allowed when initialModel is given.")
val numRuns = if (initialModel.nonEmpty) {
if (runs > 1) logWarning("Ignoring runs; one run is allowed when initialModel is given.")
1
} else runs


} else {
runs
}

val centers = initialModel match {
case Some(kMeansCenters) => {
Array(kMeansCenters.clusterCenters.map(s => new VectorWithNorm(s)))
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