{"title":"Linear Discriminant Analysis Apply","nodeType":"Manipulator","id":"*yXg3V3qqr5tNisPz","factoryName":"org.knime.base.node.stats.transformation.lda2.apply.LDAApplyNodeFactory","factoryId":"org.knime.base.node.stats.transformation.lda2.apply.LDAApplyNodeFactory","path":["Analytics","Mining","Linear Discriminant Analysis"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node applies a <a href=\"http://en.wikipedia.org/wiki/Linear_discriminant_analysis\" rel=\"ugc nofollow noopener noreferrer\">Linear Discriminant Analysis (LDA)</a> model to the given input data. This model is most likely the output of a <i>Linear Discriminant Analysis Compute</i> node and can be applied to arbitrary data to reduce its dimensionality.</p><p><b>The column names, however, must correspond to those that have been used to compute the model.</b></p>\n            \n        \n        ","shortDescription":"This node applies a model resulting from a linear discriminant analysis.","keywords":[],"deprecated":false,"streamable":true,"tags":["Analytics","Mining","Linear Discriminant 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This cannot exceed the number of classes minus one or the number of selected columns, depending on which one is smaller.","optional":false},{"name":"Remove original data columns","description":"If checked, the columns containing the input data are removed from the output table.","optional":false},{"name":"Fail if missing values are encountered","description":"If checked, execution fails when the selected columns contain missing values. Otherwise, rows containing missing values are ignored during computation.","optional":false}]}],"links":[],"kudos":[],"kudosCount":0,"bundleInformation":{"bundleVersion":"5.12.0.v202604281126","bundleName":"KNIME Statistic Nodes","bundleSymbolicName":"org.knime.stats","bundleVendor":"KNIME AG, Zurich, Switzerland","featureSymbolicName":"org.knime.features.stats","featureName":"KNIME Statistics Nodes","featureVersion":"5.12.0.v202604281126","featureVendor":"KNIME AG, Zurich, Switzerland","extensionId":"*G7WNikjPW2P03gXm"},"frequentSuccessors":[]}