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  1. Spark
  2. SPARK-3261

KMeans clusterer can return duplicate cluster centers

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Details

    • Improvement
    • Status: Resolved
    • Minor
    • Resolution: Fixed
    • 1.0.2
    • 2.1.0
    • MLlib

    Description

      This is a bad design choice. I think that it is preferable to produce no duplicate cluster centers. So instead of forcing the number of clusters to be K, return at most K clusters.

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        is related to

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-17389 KMeans speedup with better choice of k-means|| init steps = 2

        • Minor - Minor loss of function, or other problem where easy workaround is present.
        • Resolved

        Improvement - An improvement or enhancement to an existing feature or task. SPARK-18427 Update docs of mllib.KMeans

        • Trivial - Cosmetic problem like misspelt words or misaligned text.
        • Resolved
        relates to

        Bug - A problem which impairs or prevents the functions of the product. SPARK-19319 SparkR Kmeans summary returns error when the cluster size doesn't equal to k

        • Major - Major loss of function.
        • Resolved
        links to

        Pull request #2419 [Github] Pull Request #2419 (derrickburns)

        Pull request #2634 [Github] Pull Request #2634 (derrickburns)

        Pull request #15450 [Github] Pull Request #15450 (srowen)

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            srowen Sean R. Owen
            derrickburns Derrick Burns
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