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<TD>A genetic algorithm for feature selection (mutation=switch features on and
 off, crossover=interchange used features).</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/IterativeFeatureAdding.html" title="class in com.rapidminer.operator.features.selection">IterativeFeatureAdding</A></B></TD>
<TD>Adds iteratively the next feature according to given attribute name array.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/NonDominatedSortingSelection.html" title="class in com.rapidminer.operator.features.selection">NonDominatedSortingSelection</A></B></TD>
<TD>Performs the non dominated sorting selection from NSGA II.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/RandomSelection.html" title="class in com.rapidminer.operator.features.selection">RandomSelection</A></B></TD>
<TD>This operator selects a randomly chosen number of features randomly from the input example set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/RankSelection.html" title="class in com.rapidminer.operator.features.selection">RankSelection</A></B></TD>
<TD>Selects a given fixed number of individuals by subdividing a roulette wheel
 in sections of size proportional to the individuals' rank based on their
 fitness values.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/RemoveCorrelatedFeatures.html" title="class in com.rapidminer.operator.features.selection">RemoveCorrelatedFeatures</A></B></TD>
<TD>Removes (un-) correlated features due to the selected filter relation.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/RemoveUselessFeatures.html" title="class in com.rapidminer.operator.features.selection">RemoveUselessFeatures</A></B></TD>
<TD>Removes useless attribute from the example set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/RouletteWheel.html" title="class in com.rapidminer.operator.features.selection">RouletteWheel</A></B></TD>
<TD>Selects a given fixed number of individuals by subdividing a roulette wheel
 in sections of size proportional to the individuals' fitness values.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/SelectionCrossover.html" title="class in com.rapidminer.operator.features.selection">SelectionCrossover</A></B></TD>
<TD>Crossover operator for the used bitlists of example sets.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/SelectionMutation.html" title="class in com.rapidminer.operator.features.selection">SelectionMutation</A></B></TD>
<TD>Inverts the used bit for every feature of every example set with a given
 fixed probability.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/StochasticUniversalSampling.html" title="class in com.rapidminer.operator.features.selection">StochasticUniversalSampling</A></B></TD>
<TD>Similar to a the roulette wheel selection the fitness values of all
 individuals build a partition of the 360 degrees of a wheel.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/SwitchingForwardSelection.html" title="class in com.rapidminer.operator.features.selection">SwitchingForwardSelection</A></B></TD>
<TD>This PopulationOperator realises forward selection, i.e. creates a list of
 clones of each individual and switches on one attribute in each of the
 clones.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/TournamentSelection.html" title="class in com.rapidminer.operator.features.selection">TournamentSelection</A></B></TD>
<TD>Performs tournaments with k participants.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/UniformSelection.html" title="class in com.rapidminer.operator.features.selection">UniformSelection</A></B></TD>
<TD>Selects a given fixed number of individuals by uniformly sampling from the
 current population until the desired population size is reached.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD WIDTH="15%"><B><A HREF="../../../../../com/rapidminer/operator/features/selection/WeightGuidedSelectionOperator.html" title="class in com.rapidminer.operator.features.selection">WeightGuidedSelectionOperator</A></B></TD>
<TD>
 This operator uses input attribute weights to determine the order of features
 added to the feature set starting with the feature set containing only the
 feature with highest weight.</TD>
</TR>
</TABLE>
&nbsp;

<P>
<A NAME="package_description"><!-- --></A><H2>
Package com.rapidminer.operator.features.selection Description
</H2>

<P>
Provides operators for automatic feature selection.
<P>

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