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  1. Spark
  2. SPARK-3220

K-Means clusterer should perform K-Means initialization in parallel

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    • Improvement
    • Status: Resolved
    • Major
    • Resolution: Incomplete
    • None
    • None
    • MLlib

    Description

      The LocalKMeans method should be replaced with a parallel implementation. As it stands now, it becomes a bottleneck for large data sets.

      I have implemented this functionality in my version of the clusterer. However, I see that there are hundreds of outstanding pull requests. If someone on the team wants to sponsor the pull request, I will create one. Otherwise, I will just maintain my own private fork of the clusterer.

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          is duplicated by

          Bug - A problem which impairs or prevents the functions of the product. SPARK-6706 kmeans|| hangs for a long time if both k and vector dimension are large

          • Major - Major loss of function.
          • Resolved

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              Unassigned Unassigned
              derrickburns Derrick Burns
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              Dates

                Created:
                Updated:
                Resolved: