dimensionality reduction

  1. UMAP

    UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

    fil
  2. sIBClusterer

    Uses sIB clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/sIB.html

    weka
  3. PaceRegression

    This is the PaceRegression classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/PaceRegression.html

    weka
  4. Winnow

    This is the Winnow classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/Winnow.html

    weka
  5. AttributeSelectedClassifier

    This is the AttributeSelectedClassifier classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/meta/AttributeSelectedClassifier.html

    weka
Rows per page: 1-5 of 8
  1. UMAP

    UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

    fil
  2. PaceRegression

    This is the PaceRegression classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/PaceRegression.html

    weka
  3. Winnow

    This is the Winnow classifier, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/classifiers/functions/Winnow.html

    weka
  4. sIBClusterer

    Uses sIB clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/sIB.html

    weka
  5. RandomProjection

    This is the RandomProjection filter, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/filters/unsupervised/attribute/RandomProjection.html

    weka
Rows per page: 1-5 of 8
  1. UMAP

    UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

    fil
  2. sIBClusterer

    Uses sIB clusterer, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/clusterers/sIB.html

    weka
  3. RandomSubset

    This is the RandomSubset filter, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/filters/unsupervised/attribute/RandomSubset.html

    weka
  4. RandomProjection

    This is the RandomProjection filter, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/filters/unsupervised/attribute/RandomProjection.html

    weka
  5. ClusterMembership

    This is the ClusterMembership filter, as implemented in Weka: http://weka.sourceforge.net/doc.stable/weka/filters/unsupervised/attribute/ClusterMembership.html

    weka
Rows per page: 1-5 of 8