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<DT><A HREF="./AlgorithmRVM.html" title="class in <Unnamed>"><B>AlgorithmRVM</B></A> - Class in <A HREF="./package-summary.html"><Unnamed></A><DD>Algorithm Relevance Vector Machines<DT><A HREF="./AlgorithmRVM.html#AlgorithmRVM()"><B>AlgorithmRVM()</B></A> - Constructor for class <A HREF="./AlgorithmRVM.html" title="class in <Unnamed>">AlgorithmRVM</A><DD> <DT><A HREF="./AlgorithmSVM.html" title="class in <Unnamed>"><B>AlgorithmSVM</B></A> - Class in <A HREF="./package-summary.html"><Unnamed></A><DD>Algorithm Support Vector Machines<DT><A HREF="./AlgorithmSVM.html#AlgorithmSVM()"><B>AlgorithmSVM()</B></A> - Constructor for class <A HREF="./AlgorithmSVM.html" title="class in <Unnamed>">AlgorithmSVM</A><DD> <DT><A HREF="./MathUtil.html#almostEqual(java.util.Vector, java.util.Vector)"><B>almostEqual(Vector, Vector)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>method sees if input vectors are "almost" equal<DT><A HREF="./MathUtil.html#almostEqual(java.util.Vector, double)"><B>almostEqual(Vector, double)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>method sees if input vectors are "almost" equal<DT><A HREF="./MathUtil.html#almostEqual(double, double)"><B>almostEqual(double, double)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>method sees if input doubles are "almost" equal<DT><A HREF="./AlgorithmLP.html#autocorrelate(java.util.Vector, double[])"><B>autocorrelate(Vector, double[])</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Actaully computes the autocorrelation coefficients<DT><A HREF="./AlgorithmLP.html#autoCorrelation()"><B>autoCorrelation()</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Computes the autocorrelation coeffient from the data sets</DL><HR><A NAME="_B_"><!-- --></A><H2><B>B</B></H2><DL><DT><A HREF="./AlgorithmLDA.html#betweenClass(Matrix)"><B>betweenClass(Matrix)</B></A> - Method in class <A HREF="./AlgorithmLDA.html" title="class in <Unnamed>">AlgorithmLDA</A><DD>Determines the between class scatter matrix for the class independent linear discrimination algorithm<DT><A HREF="./AlgorithmLDAPCA.html#betweenClass(Matrix)"><B>betweenClass(Matrix)</B></A> - Method in class <A HREF="./AlgorithmLDAPCA.html" title="class in <Unnamed>">AlgorithmLDAPCA</A><DD>Determines the between class scatter matrix for the class independent linear discrimination algorithm<DT><A HREF="./MathUtil.html#betweenClass(DataPoints, Matrix, double, double)"><B>betweenClass(DataPoints, Matrix, double, double)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>this method determines the between class scatter matrix for the class independent linear discrimination algorithm<DT><A HREF="./AlgorithmLDA2.html#betweenClass1(Matrix, Matrix, Matrix, Matrix)"><B>betweenClass1(Matrix, Matrix, Matrix, Matrix)</B></A> - Method in class <A HREF="./AlgorithmLDA2.html" title="class in <Unnamed>">AlgorithmLDA2</A><DD>Determines the between class scatter matrix for the class dependent linear discrimination algorithm<DT><A HREF="./BiNormal.html" title="class in <Unnamed>"><B>BiNormal</B></A> - Class in <A HREF="./package-summary.html"><Unnamed></A><DD>Handles random generation of Gaussian uses<DT><A HREF="./BiNormal.html#BiNormal()"><B>BiNormal()</B></A> - Constructor for class <A HREF="./BiNormal.html" title="class in <Unnamed>">BiNormal</A><DD> </DL><HR><A NAME="_C_"><!-- --></A><H2><B>C</B></H2><DL><DT><A HREF="./AlgorithmLP.html#calculate_lpc(double[], double[], double[])"><B>calculate_lpc(double[], double[], double[])</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Actually calculate the LP coefficient and the Residual Error Energy, and Reflection Coefficients<DT><A HREF="./AlgorithmKF.html#checkdata_KF(java.util.Vector)"><B>checkdata_KF(Vector<MyPoint>)</B></A> - Method in class <A HREF="./AlgorithmKF.html" title="class in <Unnamed>">AlgorithmKF</A><DD>Validates the class entered by user for Partical Filtering<DT><A HREF="./AlgorithmLP.html#checkdata_LP(java.util.Vector)"><B>checkdata_LP(Vector)</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Validates the class entered by user for Linear Prediction<DT><A HREF="./AlgorithmPF.html#checkdata_PF(java.util.Vector)"><B>checkdata_PF(Vector<MyPoint>)</B></A> - Method in class <A HREF="./AlgorithmPF.html" title="class in <Unnamed>">AlgorithmPF</A><DD>Validates the class entered by user for Partical Filtering<DT><A HREF="./Matrix.html#choleskySolve(Matrix, Matrix, Matrix)"><B>choleskySolve(Matrix, Matrix, Matrix)</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>This method solves the linear equation l * l' * x = b, where L is the cholesky decomposition matrix and b is an input vector.<DT><A HREF="./AlgorithmKMeans.html#classify(DecisionRegion)"><B>classify(DecisionRegion)</B></A> - Method in class <A HREF="./AlgorithmKMeans.html" title="class in <Unnamed>">AlgorithmKMeans</A><DD>Classifies the data sets based on the k-means iterative algorithm<DT><A HREF="./AlgorithmLBG.html#classify(java.util.Vector)"><B>classify(Vector)</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Classifies the data sets based on the k-means iterative algorithm<DT><A HREF="./Classify.html" title="class in <Unnamed>"><B>Classify</B></A> - Class in <A HREF="./package-summary.html"><Unnamed></A><DD>Classify is the main driver program that extend JApplet and is the class called when the applet is loaded, which inturn initialize all other objects and components need to run the applet hierarchy: JApplet->Classify<DT><A HREF="./Classify.html#Classify()"><B>Classify()</B></A> - Constructor for class <A HREF="./Classify.html" title="class in <Unnamed>">Classify</A><DD> <DT><A HREF="./DisplayArea.html#clear()"><B>clear()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>Clears the Display Area<DT><A HREF="./OutputPanel.html#clear()"><B>clear()</B></A> - Method in class <A HREF="./OutputPanel.html" title="class in <Unnamed>">OutputPanel</A><DD>Clears the input panel screen<DT><A HREF="./SelectionArea.html#clear()"><B>clear()</B></A> - Method in class <A HREF="./SelectionArea.html" title="class in <Unnamed>">SelectionArea</A><DD>Clears data sets<DT><A HREF="./DecisionRegion.html#clearAllRegions()"><B>clearAllRegions()</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>clears all decision regions<DT><A HREF="./DataPoints.html#clearAllSets()"><B>clearAllSets()</B></A> - Method in class <A HREF="./DataPoints.html" title="class in <Unnamed>">DataPoints</A><DD>clear out all point form the data sets<DT><A HREF="./DecisionRegion.html#clearRegion(java.lang.String)"><B>clearRegion(String)</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>clears the specified decision region<DT><A HREF="./AlgorithmLBG.html#clusterDeviation(java.util.Vector, MyPoint)"><B>clusterDeviation(Vector, MyPoint)</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Calculates the standard deviation of the cluster<DT><A HREF="./Matrix.html#col"><B>col</B></A> - Variable in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD> <DT><A HREF="./AlgorithmLBG.html#computeBinaryDeviates(java.util.Vector)"><B>computeBinaryDeviates(Vector)</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Computes the binary deviates after each iteraion<DT><A HREF="./MathUtil.html#computeClusterMean(java.util.Vector)"><B>computeClusterMean(Vector)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>methods computes and returns the mean of the given cluster<DT><A HREF="./Covariance.html#computeCovariance(double[], double[])"><B>computeCovariance(double[], double[])</B></A> - Method in class <A HREF="./Covariance.html" title="class in <Unnamed>">Covariance</A><DD>computes the covariance matrix given two discrete random variables<DT><A HREF="./AlgorithmED.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmED.html" title="class in <Unnamed>">AlgorithmED</A><DD>Computes the line of discrimination<DT><A HREF="./AlgorithmLDA.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmLDA.html" title="class in <Unnamed>">AlgorithmLDA</A><DD>Computes the line of discrimination for class independent LDA<DT><A HREF="./AlgorithmLDA2.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmLDA2.html" title="class in <Unnamed>">AlgorithmLDA2</A><DD>method computes the line of discrimination for class dependent LDA<DT><A HREF="./AlgorithmLDAPCA.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmLDAPCA.html" title="class in <Unnamed>">AlgorithmLDAPCA</A><DD>Computes the line of discrimination for the classification algorithms when the corresponding flags have been initialized<DT><A HREF="./AlgorithmNN.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmNN.html" title="class in <Unnamed>">AlgorithmNN</A><DD>Computes the line of discrimination for nearest neighbor<DT><A HREF="./AlgorithmPCA.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmPCA.html" title="class in <Unnamed>">AlgorithmPCA</A><DD>Computes the line of discrimination for the classification algorithms when the corresponding flags have been initialized<DT><A HREF="./AlgorithmPCA2.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmPCA2.html" title="class in <Unnamed>">AlgorithmPCA2</A><DD>Computes the line of discrimination for the classification algorithms when the corresponding flags have been initialized<DT><A HREF="./AlgorithmRVM.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmRVM.html" title="class in <Unnamed>">AlgorithmRVM</A><DD>Computes the line of discrimination for the classification algorithms when the corresponding flags have been initialized<DT><A HREF="./AlgorithmSVM.html#computeDecisionRegions()"><B>computeDecisionRegions()</B></A> - Method in class <A HREF="./AlgorithmSVM.html" title="class in <Unnamed>">AlgorithmSVM</A><DD>method computes the line of discrimination for the classification algorithms when the corresponding flags have been initialized<DT><A HREF="./AlgorithmED.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmED.html" title="class in <Unnamed>">AlgorithmED</A><DD>Computes and displays the classification errors for each set<DT><A HREF="./AlgorithmLDA.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmLDA.html" title="class in <Unnamed>">AlgorithmLDA</A><DD>Counts the data points in each set in error and displays them on the text message window<DT><A HREF="./AlgorithmLDA2.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmLDA2.html" title="class in <Unnamed>">AlgorithmLDA2</A><DD>Counts the data points in each set in error and displays them on the text message window<DT><A HREF="./AlgorithmLDAPCA.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmLDAPCA.html" title="class in <Unnamed>">AlgorithmLDAPCA</A><DD>Counts the data points in each set in error and displays them on the text message window<DT><A HREF="./AlgorithmNN.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmNN.html" title="class in <Unnamed>">AlgorithmNN</A><DD>Computes and displays the classification errors for each set<DT><A HREF="./AlgorithmPCA.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmPCA.html" title="class in <Unnamed>">AlgorithmPCA</A><DD>Computes the number of data points in classification error<DT><A HREF="./AlgorithmPCA2.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmPCA2.html" title="class in <Unnamed>">AlgorithmPCA2</A><DD>Computes the classification error for the data points given<DT><A HREF="./AlgorithmRVM.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmRVM.html" title="class in <Unnamed>">AlgorithmRVM</A><DD>Computes the classification error for the data points<DT><A HREF="./AlgorithmSVM.html#computeErrors()"><B>computeErrors()</B></A> - Method in class <A HREF="./AlgorithmSVM.html" title="class in <Unnamed>">AlgorithmSVM</A><DD>computes errors display two matrices<DT><A HREF="./AlgorithmRVM.html#computeLikelihood()"><B>computeLikelihood()</B></A> - Method in class <A HREF="./AlgorithmRVM.html" title="class in <Unnamed>">AlgorithmRVM</A><DD>Computes the log likelihood of the weights given the data.<DT><A HREF="./Algorithm.html#computeMeans()"><B>computeMeans()</B></A> - Method in class <A HREF="./Algorithm.html" title="class in <Unnamed>">Algorithm</A><DD>Computes the means for each existing data set<DT><A HREF="./AlgorithmKMeans.html#computeMeans(DecisionRegion)"><B>computeMeans(DecisionRegion)</B></A> - ⌨️ 快捷键说明
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