{"title":"Linear Discriminant Analysis Compute","nodeType":"Manipulator","id":"*RT67ZpXySYm9FBWc","factoryName":"org.knime.base.node.stats.transformation.lda2.compute.LDAComputeNodeFactory","factoryId":"org.knime.base.node.stats.transformation.lda2.compute.LDAComputeNodeFactory","path":["Analytics","Mining","Linear Discriminant Analysis"],"owner":"knime","ownerAccountId":"account:team:b5f0848f-496d-4e6a-b869-fa3532248db7","description":"<p>This node performs <a href=\"http://en.wikipedia.org/wiki/Linear_discriminant_analysis\" rel=\"ugc nofollow noopener noreferrer\">Linear Discriminant Analysis (LDA)</a> which is a dimensionality reduction technique. It takes class information into account in order to project the data into a space in which classes are well separated. The results are similar to <a href=\"https://en.wikipedia.org/wiki/Principal_component_analysis\" rel=\"ugc nofollow noopener noreferrer\">Principle Component Analysis (PCA)</a> and may be used in subsequent classification.</p>\n        ","shortDescription":"This node computes a transformation model using linear discriminant analysis.","keywords":[],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Linear Discriminant Analysis"],"icon":"data:image/png;base64,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","views":[],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input data","description":"Input table containing numeric columns and one column with class information."}],"outPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Intra-class scatter matrix","description":"The intra-class scatter matrix."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Inter-class scatter matrix","description":"The inter-class scatter matrix."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Spectral decomposition","description":"Table containing the spectral decomposition. Rows are in descending order according to eigenvalues (first column)."},{"objectClass":"org.knime.base.node.mine.transformation.port.TransformationPortObject","color":"1eb9dc","dataType":"Transformation","optional":false,"name":"Transformation model","description":"Model holding the LDA transformation used by the <i>Linear Discriminant Analysis Apply</i> node to apply the transformation to, e.g. another validation set."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Options","fields":[{"name":"Class column","description":"Column containing class information.","optional":false},{"name":"Column selection","description":"Columns containing the input data.","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":[]}
