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[SPARK-19319][SparkR]:SparkR Kmeans summary returns error when the cluster size doesn't equal to k #16666

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wangmiao1981 wants to merge 4 commits into from
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[SPARK-19319][SparkR]:SparkR Kmeans summary returns error when the cluster size doesn't equal to k #16666

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2c1d02d
fix kmeans bug
wangmiao1981 Jan 21, 2017
d1a2d6c
add is.loaded in comment
wangmiao1981 Jan 23, 2017
52c9eb1
Merge github.com:apache/spark into kmeans
wangmiao1981 Jan 31, 2017
72fb951
add fix
wangmiao1981 Jan 31, 2017
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add is.loaded in comment
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@wangmiao1981
wangmiao1981 committed Jan 23, 2017
commit d1a2d6c9a83adc184dcc88ec3fd78b63ede39b89
3 changes: 2 additions & 1 deletion R/pkg/R/mllib_clustering.R
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Expand Up @@ -228,7 +228,8 @@ setMethod("spark.kmeans", signature(data = "SparkDataFrame", formula = "formula"
#' The list includes the model's \code{k} (the configured number of cluster centers),
#' \code{coefficients} (model cluster centers),
#' \code{size} (number of data points in each cluster), \code{cluster}
#' (cluster centers of the transformed data), and \code{clusterSize}
#' (cluster centers of the transformed data), {is.loaded} (whether the model is loaded
#' from a saved file), and \code{clusterSize}
#' (the actual number of cluster centers. When using initMode = "random",
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@felixcheung felixcheung Jan 21, 2017

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let's add is.loaded here

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@wangmiao1981 wangmiao1981 Jan 23, 2017

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OK. I will add it. For bisecting kmeans, I haven't found a case like this. This case only occurs when initMode is random and this behavior was due to one fix to kmeans implementation.

#' \code{clusterSize} may not equal to \code{k}).
#' @rdname spark.kmeans
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