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  1. Spark
  2. SPARK-4156

Add expectation maximization for Gaussian mixture models to MLLib clustering

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Details

    • New Feature
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 1.3.0
    • MLlib
    • None

    Description

      As an additional clustering algorithm, implement expectation maximization for Gaussian mixture models

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          duplicates

          New Feature - A new feature of the product, which has yet to be developed. SPARK-3588 Gaussian Mixture Model clustering

          • Major - Major loss of function.
          • Closed
          is required by

          New Feature - A new feature of the product, which has yet to be developed. SPARK-5012 Python API for Gaussian Mixture Model

          • Critical - Crashes, loss of data, severe memory leak.
          • Resolved

          Documentation - Documentation or Website SPARK-5013 User guide for Gaussian Mixture Model

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

          New Feature - A new feature of the product, which has yet to be developed. SPARK-3588 Gaussian Mixture Model clustering

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

          Pull request #3022 [Github] Pull Request #3022 (tgaloppo)

          Activity

            People

              tgaloppo Travis Galoppo
              tgaloppo Travis Galoppo
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              Dates

                Created:
                Updated:
                Resolved: