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#featureranking — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #featureranking, aggregated by home.social.

  1. `It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications`

    en.wikipedia.org/wiki/Sammon_m

    #machineLearning #clustering #classification #featureExtraction #featureEngineering #featureSelection #featureRanking #dimensionalityReduction #nonlinear

  2. `It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications`

    en.wikipedia.org/wiki/Sammon_m

    #machineLearning #clustering #classification #featureExtraction #featureEngineering #featureSelection #featureRanking #dimensionalityReduction #nonlinear

  3. `It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications`

    en.wikipedia.org/wiki/Sammon_m

    #machineLearning #clustering #classification #featureExtraction #featureEngineering #featureSelection #featureRanking #dimensionalityReduction #nonlinear

  4. `It is considered a non-linear approach as the mapping cannot be represented as a linear combination of the original variables as possible in techniques such as principal component analysis, which also makes it more difficult to use for classification applications`

    en.wikipedia.org/wiki/Sammon_m

    #machineLearning #clustering #classification #featureExtraction #featureEngineering #featureSelection #featureRanking #dimensionalityReduction #nonlinear