index-all.html

Java方面的数值算法

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<DT><A HREF="./net/sf/javaml/clustering/DensityBasedSpatialClustering.html#DensityBasedSpatialClustering(double, int, net.sf.javaml.distance.DistanceMeasure)"><B>DensityBasedSpatialClustering(double, int, DistanceMeasure)</B></A> - 
Constructor for class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/DensityBasedSpatialClustering.html" title="class in net.sf.javaml.clustering">DensityBasedSpatialClustering</A>
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<DT><A HREF="./gov/nist/math/jama/LUDecomposition.html#det()"><B>det()</B></A> - 
Method in class gov.nist.math.jama.<A HREF="./gov/nist/math/jama/LUDecomposition.html" title="class in gov.nist.math.jama">LUDecomposition</A>
<DD>Determinant
<DT><A HREF="./gov/nist/math/jama/Matrix.html#det()"><B>det()</B></A> - 
Method in class gov.nist.math.jama.<A HREF="./gov/nist/math/jama/Matrix.html" title="class in gov.nist.math.jama">Matrix</A>
<DD>Matrix determinant
<DT><A HREF="./net/sf/javaml/distance/DistanceMeasure.html" title="interface in net.sf.javaml.distance"><B>DistanceMeasure</B></A> - Interface in <A HREF="./net/sf/javaml/distance/package-summary.html">net.sf.javaml.distance</A><DD>A distance measure is an algorithm to calculate the distance between to
 instances.<DT><A HREF="./net/sf/javaml/classification/Classifier.html#distributionForInstance(net.sf.javaml.core.Instance)"><B>distributionForInstance(Instance)</B></A> - 
Method in interface net.sf.javaml.classification.<A HREF="./net/sf/javaml/classification/Classifier.html" title="interface in net.sf.javaml.classification">Classifier</A>
<DD>Generate the membership distribution for this instance using this
 classifier.
<DT><A HREF="./net/sf/javaml/classification/Logistic.html#distributionForInstance(net.sf.javaml.core.Instance)"><B>distributionForInstance(Instance)</B></A> - 
Method in class net.sf.javaml.classification.<A HREF="./net/sf/javaml/classification/Logistic.html" title="class in net.sf.javaml.classification">Logistic</A>
<DD>Computes the distribution for a given instance
<DT><A HREF="./net/sf/javaml/classification/svm/BinaryLinearSMO.html#distributionForInstance(net.sf.javaml.core.Instance)"><B>distributionForInstance(Instance)</B></A> - 
Method in class net.sf.javaml.classification.svm.<A HREF="./net/sf/javaml/classification/svm/BinaryLinearSMO.html" title="class in net.sf.javaml.classification.svm">BinaryLinearSMO</A>
<DD>&nbsp;
<DT><A HREF="./net/sf/javaml/classification/svm/BinarySMO.html#distributionForInstance(net.sf.javaml.core.Instance)"><B>distributionForInstance(Instance)</B></A> - 
Method in class net.sf.javaml.classification.svm.<A HREF="./net/sf/javaml/classification/svm/BinarySMO.html" title="class in net.sf.javaml.classification.svm">BinarySMO</A>
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<DT><A HREF="./net/sf/javaml/clustering/SOM.JSomLabeling.html#doLabeling()"><B>doLabeling()</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/SOM.JSomLabeling.html" title="class in net.sf.javaml.clustering">SOM.JSomLabeling</A>
<DD>Does the labeling phase.
<DT><A HREF="./net/sf/javaml/distance/PolynomialKernel.html#dotProd(net.sf.javaml.core.Instance, net.sf.javaml.core.Instance)"><B>dotProd(Instance, Instance)</B></A> - 
Method in class net.sf.javaml.distance.<A HREF="./net/sf/javaml/distance/PolynomialKernel.html" title="class in net.sf.javaml.distance">PolynomialKernel</A>
<DD>Calculates a dot product between two instances
<DT><A HREF="./net/sf/javaml/clustering/SOM.JSomTraining.html#doTraining()"><B>doTraining()</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/SOM.JSomTraining.html" title="class in net.sf.javaml.clustering">SOM.JSomTraining</A>
<DD>Does the training phase.
<DT><A HREF="./net/sf/javaml/clustering/mcl/DoubleFormat.html" title="class in net.sf.javaml.clustering.mcl"><B>DoubleFormat</B></A> - Class in <A HREF="./net/sf/javaml/clustering/mcl/package-summary.html">net.sf.javaml.clustering.mcl</A><DD>DoubleFormat formats double numbers into a specified digit format.<DT><A HREF="./net/sf/javaml/clustering/mcl/DoubleFormat.html#DoubleFormat()"><B>DoubleFormat()</B></A> - 
Constructor for class net.sf.javaml.clustering.mcl.<A HREF="./net/sf/javaml/clustering/mcl/DoubleFormat.html" title="class in net.sf.javaml.clustering.mcl">DoubleFormat</A>
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<DT><A HREF="./nz/ac/waikato/cs/weka/Utils.html#doubleToString(double, int)"><B>doubleToString(double, int)</B></A> - 
Static method in class nz.ac.waikato.cs.weka.<A HREF="./nz/ac/waikato/cs/weka/Utils.html" title="class in nz.ac.waikato.cs.weka">Utils</A>
<DD>Rounds a double and converts it into String.
<DT><A HREF="./nz/ac/waikato/cs/weka/Utils.html#doubleToString(double, int, int)"><B>doubleToString(double, int, int)</B></A> - 
Static method in class nz.ac.waikato.cs.weka.<A HREF="./nz/ac/waikato/cs/weka/Utils.html" title="class in nz.ac.waikato.cs.weka">Utils</A>
<DD>Rounds a double and converts it into a formatted decimal-justified String.
<DT><A HREF="./net/sf/javaml/distance/DynamicTimeWarpingSimilarity.html" title="class in net.sf.javaml.distance"><B>DynamicTimeWarpingSimilarity</B></A> - Class in <A HREF="./net/sf/javaml/distance/package-summary.html">net.sf.javaml.distance</A><DD>A similarity measure based on "Dynamic Time Warping".<DT><A HREF="./net/sf/javaml/distance/DynamicTimeWarpingSimilarity.html#DynamicTimeWarpingSimilarity()"><B>DynamicTimeWarpingSimilarity()</B></A> - 
Constructor for class net.sf.javaml.distance.<A HREF="./net/sf/javaml/distance/DynamicTimeWarpingSimilarity.html" title="class in net.sf.javaml.distance">DynamicTimeWarpingSimilarity</A>
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</DL>
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<DT><A HREF="./gov/nist/math/jama/Matrix.html#eig()"><B>eig()</B></A> - 
Method in class gov.nist.math.jama.<A HREF="./gov/nist/math/jama/Matrix.html" title="class in gov.nist.math.jama">Matrix</A>
<DD>Eigenvalue Decomposition
<DT><A HREF="./gov/nist/math/jama/EigenvalueDecomposition.html" title="class in gov.nist.math.jama"><B>EigenvalueDecomposition</B></A> - Class in <A HREF="./gov/nist/math/jama/package-summary.html">gov.nist.math.jama</A><DD>Eigenvalues and eigenvectors of a real matrix.<DT><A HREF="./gov/nist/math/jama/EigenvalueDecomposition.html#EigenvalueDecomposition(gov.nist.math.jama.Matrix)"><B>EigenvalueDecomposition(Matrix)</B></A> - 
Constructor for class gov.nist.math.jama.<A HREF="./gov/nist/math/jama/EigenvalueDecomposition.html" title="class in gov.nist.math.jama">EigenvalueDecomposition</A>
<DD>Check for symmetry, then construct the eigenvalue decomposition
<DT><A HREF="./net/sf/javaml/clustering/EMClustering.html" title="class in net.sf.javaml.clustering"><B>EMClustering</B></A> - Class in <A HREF="./net/sf/javaml/clustering/package-summary.html">net.sf.javaml.clustering</A><DD>Simple EM (expectation maximisation) class.<DT><A HREF="./net/sf/javaml/clustering/EMClustering.html#EMClustering()"><B>EMClustering()</B></A> - 
Constructor for class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/EMClustering.html" title="class in net.sf.javaml.clustering">EMClustering</A>
<DD>default constructor
<DT><A HREF="./net/sf/javaml/clustering/EMClustering.html#EMClustering(int, int, net.sf.javaml.distance.DistanceMeasure)"><B>EMClustering(int, int, DistanceMeasure)</B></A> - 
Constructor for class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/EMClustering.html" title="class in net.sf.javaml.clustering">EMClustering</A>
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<DT><A HREF="./net/sf/javaml/core/DatasetTools.html#epsilonRangeQuery(net.sf.javaml.core.Dataset, double, net.sf.javaml.core.Instance, net.sf.javaml.distance.DistanceMeasure)"><B>epsilonRangeQuery(Dataset, double, Instance, DistanceMeasure)</B></A> - 
Static method in class net.sf.javaml.core.<A HREF="./net/sf/javaml/core/DatasetTools.html" title="class in net.sf.javaml.core">DatasetTools</A>
<DD>Performs an epsilon range query for this instance relative to the
 supplied dataset.
<DT><A HREF="./net/sf/javaml/utils/MathUtils.html#eq(double, double)"><B>eq(double, double)</B></A> - 
Static method in class net.sf.javaml.utils.<A HREF="./net/sf/javaml/utils/MathUtils.html" title="class in net.sf.javaml.utils">MathUtils</A>
<DD>Tests if a is equal to b.
<DT><A HREF="./net/sf/javaml/utils/MathUtils.html#eq(double[], double[])"><B>eq(double[], double[])</B></A> - 
Static method in class net.sf.javaml.utils.<A HREF="./net/sf/javaml/utils/MathUtils.html" title="class in net.sf.javaml.utils">MathUtils</A>
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<DT><A HREF="./nz/ac/waikato/cs/weka/Utils.html#eq(double, double)"><B>eq(double, double)</B></A> - 
Static method in class nz.ac.waikato.cs.weka.<A HREF="./nz/ac/waikato/cs/weka/Utils.html" title="class in nz.ac.waikato.cs.weka">Utils</A>
<DD>Tests if a is equal to b.
<DT><A HREF="./net/sf/javaml/core/SimpleInstance.html#equals(java.lang.Object)"><B>equals(Object)</B></A> - 
Method in class net.sf.javaml.core.<A HREF="./net/sf/javaml/core/SimpleInstance.html" title="class in net.sf.javaml.core">SimpleInstance</A>
<DD>&nbsp;
<DT><A HREF="./net/sf/javaml/tools/bioinformatics/GeneInstance.html#equals(java.lang.Object)"><B>equals(Object)</B></A> - 
Method in class net.sf.javaml.tools.bioinformatics.<A HREF="./net/sf/javaml/tools/bioinformatics/GeneInstance.html" title="class in net.sf.javaml.tools.bioinformatics">GeneInstance</A>
<DD>&nbsp;
<DT><A HREF="./net/sf/javaml/distance/EuclideanDistance.html" title="class in net.sf.javaml.distance"><B>EuclideanDistance</B></A> - Class in <A HREF="./net/sf/javaml/distance/package-summary.html">net.sf.javaml.distance</A><DD>This class implements the Euclidean distance.<DT><A HREF="./net/sf/javaml/distance/EuclideanDistance.html#EuclideanDistance()"><B>EuclideanDistance()</B></A> - 
Constructor for class net.sf.javaml.distance.<A HREF="./net/sf/javaml/distance/EuclideanDistance.html" title="class in net.sf.javaml.distance">EuclideanDistance</A>
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<DT><A HREF="./net/sf/javaml/utils/ActiveSetsOptimization.html#evaluateGradient(double[])"><B>evaluateGradient(double[])</B></A> - 
Method in class net.sf.javaml.utils.<A HREF="./net/sf/javaml/utils/ActiveSetsOptimization.html" title="class in net.sf.javaml.utils">ActiveSetsOptimization</A>
<DD>Subclass should implement this procedure to evaluate gradient of the
 objective function
<DT><A HREF="./net/sf/javaml/utils/ActiveSetsOptimization.html#evaluateHessian(double[], int)"><B>evaluateHessian(double[], int)</B></A> - 
Method in class net.sf.javaml.utils.<A HREF="./net/sf/javaml/utils/ActiveSetsOptimization.html" title="class in net.sf.javaml.utils">ActiveSetsOptimization</A>
<DD>Subclass is recommended to override this procedure to evaluate
 second-order gradient of the objective function.
<DT><A HREF="./net/sf/javaml/clustering/Ant.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/Ant.html" title="class in net.sf.javaml.clustering">Ant</A>
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<DT><A HREF="./net/sf/javaml/clustering/AQBC.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/AQBC.html" title="class in net.sf.javaml.clustering">AQBC</A>
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 FIXME remove output on the console
<DT><A HREF="./net/sf/javaml/clustering/CAST.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/CAST.html" title="class in net.sf.javaml.clustering">CAST</A>
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<DT><A HREF="./net/sf/javaml/clustering/Clusterer.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in interface net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/Clusterer.html" title="interface in net.sf.javaml.clustering">Clusterer</A>
<DD>This method will execute the clustering algorithm on a particular
 dataset.
<DT><A HREF="./net/sf/javaml/clustering/Cobweb.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/Cobweb.html" title="class in net.sf.javaml.clustering">Cobweb</A>
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<DT><A HREF="./net/sf/javaml/clustering/DensityBasedSpatialClustering.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/DensityBasedSpatialClustering.html" title="class in net.sf.javaml.clustering">DensityBasedSpatialClustering</A>
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<DT><A HREF="./net/sf/javaml/clustering/EMClustering.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/EMClustering.html" title="class in net.sf.javaml.clustering">EMClustering</A>
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<DT><A HREF="./net/sf/javaml/clustering/FarthestFirst.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</B></A> - 
Method in class net.sf.javaml.clustering.<A HREF="./net/sf/javaml/clustering/FarthestFirst.html" title="class in net.sf.javaml.clustering">FarthestFirst</A>
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<DT><A HREF="./net/sf/javaml/clustering/IterativeEMClustering.html#executeClustering(net.sf.javaml.core.Dataset)"><B>executeClustering(Dataset)</