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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc (build 1.5.0_13) on Mon Jul 14 01:36:53 CEST 2008 --><TITLE>com.rapidminer.operator.features.transformation (RapidMiner Class Documentation)</TITLE><META NAME="keywords" CONTENT="com.rapidminer.operator.features.transformation package"><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../../../stylesheet.css" TITLE="Style"><SCRIPT type="text/javascript">function windowTitle(){ parent.document.title="com.rapidminer.operator.features.transformation (RapidMiner Class Documentation)";}</SCRIPT><NOSCRIPT></NOSCRIPT></HEAD><BODY BGCOLOR="white" onload="windowTitle();"><!-- ========= START OF TOP NAVBAR ======= --><A NAME="navbar_top"><!-- --></A><A HREF="#skip-navbar_top" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A 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HREF="../../../../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package com.rapidminer.operator.features.transformation</H2>Provides operators for feature space transformations like PCA or ICA.<P><B>See:</B><BR> <A HREF="#package_description"><B>Description</B></A><P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Interface Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/ComponentVector.html" title="interface in com.rapidminer.operator.features.transformation">ComponentVector</A></B></TD><TD>This class holds information about one eigenvector and eigenvalue.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/ComponentWeightsCreatable.html" title="interface in com.rapidminer.operator.features.transformation">ComponentWeightsCreatable</A></B></TD><TD>This is an interface for models holding several components for feature transformation.</TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/DimensionalityReducer.html" title="class in com.rapidminer.operator.features.transformation">DimensionalityReducer</A></B></TD><TD>Abstract class representing some common functionality of dimensionality reduction methods.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/DimensionalityReducerModel.html" title="class in com.rapidminer.operator.features.transformation">DimensionalityReducerModel</A></B></TD><TD>The model for the generic dimensionality reducer.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/Eigenvector.html" title="class in com.rapidminer.operator.features.transformation">Eigenvector</A></B></TD><TD>This class holds information about one eigenvector and eigenvalue.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/EigenvectorModelVisualization.html" title="class in com.rapidminer.operator.features.transformation">EigenvectorModelVisualization</A></B></TD><TD>This class can be used for all eigenvector based model visualizations.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/FastICA.html" title="class in com.rapidminer.operator.features.transformation">FastICA</A></B></TD><TD>This operator performs the independent componente analysis (ICA).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/FastICAModel.html" title="class in com.rapidminer.operator.features.transformation">FastICAModel</A></B></TD><TD>This is the transformation model of the <code>FastICA</code>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/FourierTransform.html" title="class in com.rapidminer.operator.features.transformation">FourierTransform</A></B></TD><TD>Creates a new example set consisting of the result of a fourier transformation for each attribute of the input example set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/GHA.html" title="class in com.rapidminer.operator.features.transformation">GHA</A></B></TD><TD>Generalized Hebbian Algorithm (GHA) is an iterative method to compute principal components.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/GHAModel.html" title="class in com.rapidminer.operator.features.transformation">GHAModel</A></B></TD><TD>This is the transformation model of the <code>GHA</code> The number of components is initially specified by the <code>GHA</code>.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/JamaDimensionalityReduction.html" title="class in com.rapidminer.operator.features.transformation">JamaDimensionalityReduction</A></B></TD><TD>This class represents an abstract framework for performing dimensionality reduction using the JAMA package.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/KernelPCA.html" title="class in com.rapidminer.operator.features.transformation">KernelPCA</A></B></TD><TD>This operator performs a kernel-based principal components analysis (PCA).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/KernelPCAModel.html" title="class in com.rapidminer.operator.features.transformation">KernelPCAModel</A></B></TD><TD>The model for the Kernel-PCA.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/PCA.html" title="class in com.rapidminer.operator.features.transformation">PCA</A></B></TD><TD>This operator performs a principal components analysis (PCA) using the covariance matrix.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/PCAModel.html" title="class in com.rapidminer.operator.features.transformation">PCAModel</A></B></TD><TD>This is the transformation model of the principal components analysis.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/PrincipalComponentsTransformation.html" title="class in com.rapidminer.operator.features.transformation">PrincipalComponentsTransformation</A></B></TD><TD>Builds the principal components of the given data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/SOMDimensionalityReduction.html" title="class in com.rapidminer.operator.features.transformation">SOMDimensionalityReduction</A></B></TD><TD>This operator performs a dimensionality reduction based on a SOM (Self Organizing Map, aka Kohonen net).</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/SOMDimensionalityReductionModel.html" title="class in com.rapidminer.operator.features.transformation">SOMDimensionalityReductionModel</A></B></TD><TD>The model for the SOM dimensionality reduction.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/SVDReduction.html" title="class in com.rapidminer.operator.features.transformation">SVDReduction</A></B></TD><TD>A dimensionality reduction method based on Singular Value Decomposition.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/transformation/WeightVector.html" title="class in com.rapidminer.operator.features.transformation">WeightVector</A></B></TD><TD>This class holds information about one eigenvector and eigenvalue.</TD></TR></TABLE> <P><A NAME="package_description"><!-- --></A><H2>Package com.rapidminer.operator.features.transformation Description</H2><P>Provides operators for feature space transformations like PCA or ICA.<P><P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT 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