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<DL><DT><A HREF="./Eigen.html" title="class in <Unnamed>"><B>Eigen</B></A> - Class in <A HREF="./package-summary.html"><Unnamed></A><DD>this class takes in square matrix and computes the eigen values and its corresponding eigen vectors for the matrix<DT><A HREF="./Eigen.html#Eigen()"><B>Eigen()</B></A> - Constructor for class <A HREF="./Eigen.html" title="class in <Unnamed>">Eigen</A><DD> <DT><A HREF="./Matrix.html#Elem"><B>Elem</B></A> - Variable in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD> <DT><A HREF="./Eigen.html#elmhes(Matrix)"><B>elmhes(Matrix)</B></A> - Static method in class <A HREF="./Eigen.html" title="class in <Unnamed>">Eigen</A><DD>this routine reduces a matrix to hessenberg's form by the elimination method.<DT><A HREF="./Algorithm.html#enableControl()"><B>enableControl()</B></A> - Method in class <A HREF="./Algorithm.html" title="class in <Unnamed>">Algorithm</A><DD>Enables the next and previous keys after the execution of a step.<DT><A HREF="./Eigen.html#EPSILON"><B>EPSILON</B></A> - Static variable in class <A HREF="./Eigen.html" title="class in <Unnamed>">Eigen</A><DD> <DT><A HREF="./AlgorithmLP.html#estimate(java.util.Vector, java.util.Vector, double, double[])"><B>estimate(Vector<MyPoint>, Vector<MyPoint>, double, double[])</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Estimates the amplitude based on the LP coeficients.<DT><A HREF="./AlgorithmPF.html#estimate(java.util.Vector, java.util.Vector, double, double[])"><B>estimate(Vector<MyPoint>, Vector<MyPoint>, double, double[])</B></A> - Method in class <A HREF="./AlgorithmPF.html" title="class in <Unnamed>">AlgorithmPF</A><DD>Estimates the amplitude based on the PF coeficients.<DT><A HREF="./Eigen.html#Euclidian_Distance(double[], double[], int)"><B>Euclidian_Distance(double[], double[], int)</B></A> - Static method in class <A HREF="./Eigen.html" title="class in <Unnamed>">Eigen</A><DD>this function computes the euclidean distance between two vwctors<DT><A HREF="./Matrix.html#expMatrix()"><B>expMatrix()</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>This routine takes every element to its exponent with Math.exp()</DL><HR><A NAME="_F_"><!-- --></A><H2><B>F</B></H2><DL><DT><A HREF="./AlgorithmLP.html#final_estimate()"><B>final_estimate()</B></A> - Method in class <A HREF="./AlgorithmLP.html" title="class in <Unnamed>">AlgorithmLP</A><DD>Calculates the estimated points for the data inputs<DT><A HREF="./AlgorithmPF.html#final_estimate()"><B>final_estimate()</B></A> - Method in class <A HREF="./AlgorithmPF.html" title="class in <Unnamed>">AlgorithmPF</A><DD>Calculates the estimated points for the data inputs<DT><A HREF="./Matrix.html#FULL"><B>FULL</B></A> - Static variable in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD> </DL><HR><A NAME="_G_"><!-- --></A><H2><B>G</B></H2><DL><DT><A HREF="./BiNormal.html#gaussian(int, double, double, double[], double[], double, double, double, double)"><B>gaussian(int, double, double, double[], double[], double, double, double, double)</B></A> - Method in class <A HREF="./BiNormal.html" title="class in <Unnamed>">BiNormal</A><DD>Generates binormal gaussian random deviates<DT><A HREF="./Matrix.html#gaussj(double[][], int, double[][], int)"><B>gaussj(double[][], int, double[][], int)</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>This routine computes the inverse matrix using the gauss jordan method see numerical recipes, the are of scientific computing, second edition, cambridge university press.<DT><A HREF="./AlgorithmKMeans.html#generateMeans(int)"><B>generateMeans(int)</B></A> - Method in class <A HREF="./AlgorithmKMeans.html" title="class in <Unnamed>">AlgorithmKMeans</A><DD>Generates random initial guesses (means) for the data set<DT><A HREF="./AlgorithmKMeans.html#generatePool()"><B>generatePool()</B></A> - Method in class <A HREF="./AlgorithmKMeans.html" title="class in <Unnamed>">AlgorithmKMeans</A><DD>Collects all the data points of all the data sets<DT><A HREF="./AlgorithmLBG.html#generatePool()"><B>generatePool()</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Collects all the data points together<DT><A HREF="./BiNormal.html#genmn(double[], double[], double[])"><B>genmn(double[], double[], double[])</B></A> - Method in class <A HREF="./BiNormal.html" title="class in <Unnamed>">BiNormal</A><DD>methods generates the multivariate normal deviates using the procedure: 1) generate p independent standard normal deviates - ei ~ n(0,1) 2) using cholesky decomposition find a s.t.<DT><A HREF="./SelectionArea.html#getCanvasHeight()"><B>getCanvasHeight()</B></A> - Method in class <A HREF="./SelectionArea.html" title="class in <Unnamed>">SelectionArea</A><DD>Gets the canvas height<DT><A HREF="./SelectionArea.html#getCanvasWidth()"><B>getCanvasWidth()</B></A> - Method in class <A HREF="./SelectionArea.html" title="class in <Unnamed>">SelectionArea</A><DD>Gets the canvas width<DT><A HREF="./AlgorithmKMeans.html#getClosestSet(MyPoint)"><B>getClosestSet(MyPoint)</B></A> - Method in class <A HREF="./AlgorithmKMeans.html" title="class in <Unnamed>">AlgorithmKMeans</A><DD>Determines the closest data sets to the cluster<DT><A HREF="./AlgorithmLBG.html#getClosestSet(MyPoint)"><B>getClosestSet(MyPoint)</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Determines the closest data sets to the cluster<DT><A HREF="./Matrix.html#getColSumSquare(int)"><B>getColSumSquare(int)</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>this routine computes the sum of a column<DT><A HREF="./Classify.html#getCurrAlgo()"><B>getCurrAlgo()</B></A> - Static method in class <A HREF="./Classify.html" title="class in <Unnamed>">Classify</A><DD>determine the current algorithm and returns an object for it<DT><A HREF="./AlgorithmKMeans.html#getDecisionRegion(java.util.Vector)"><B>getDecisionRegion(Vector<MyPoint>)</B></A> - Method in class <A HREF="./AlgorithmKMeans.html" title="class in <Unnamed>">AlgorithmKMeans</A><DD>Computes the k-mean decision region - nearest neighbor algorithm<DT><A HREF="./AlgorithmLBG.html#getDecisionRegion(java.util.Vector)"><B>getDecisionRegion(Vector<MyPoint>)</B></A> - Method in class <A HREF="./AlgorithmLBG.html" title="class in <Unnamed>">AlgorithmLBG</A><DD>Computes the k-mean decision region - nearest neighbor algorithm<DT><A HREF="./Matrix.html#getDiagonalVector(java.util.Vector)"><B>getDiagonalVector(Vector<Double>)</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>Puts the diagonal of a matrix in the vector passed<DT><A HREF="./OutputPanel.html#getDisplayHeight()"><B>getDisplayHeight()</B></A> - Method in class <A HREF="./OutputPanel.html" title="class in <Unnamed>">OutputPanel</A><DD>Gets the height on the output canvas<DT><A HREF="./DisplayArea.html#getDisplayScale()"><B>getDisplayScale()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>gets the current DisplayScale<DT><A HREF="./SelectionArea.html#getDisplayScale()"><B>getDisplayScale()</B></A> - Method in class <A HREF="./SelectionArea.html" title="class in <Unnamed>">SelectionArea</A><DD>Gets the DisplayScale<DT><A HREF="./OutputPanel.html#getDisplayWidth()"><B>getDisplayWidth()</B></A> - Method in class <A HREF="./OutputPanel.html" title="class in <Unnamed>">OutputPanel</A><DD>Gets the width on the output canvas method: getDisplayWidth<DT><A HREF="./DecisionRegion.html#getGuesses()"><B>getGuesses()</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>method retrieves the initial guesses - means of the data sets<DT><A HREF="./DisplayArea.html#getHeight()"><B>getHeight()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>gets height of the output canvas<DT><A HREF="./Matrix.html#getNumColumns()"><B>getNumColumns()</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>Gets the number of Columns<DT><A HREF="./DecisionRegion.html#getNumRegions()"><B>getNumRegions()</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>get the number of data sets currently stored<DT><A HREF="./Matrix.html#getNumRows()"><B>getNumRows()</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>Gets the number of Rows<DT><A HREF="./DecisionRegion.html#getRegion(java.lang.String)"><B>getRegion(String)</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>get the specified decision region<DT><A HREF="./DecisionRegion.html#getRegion(int)"><B>getRegion(int)</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD>method retrieves a given data set based on the index<DT><A HREF="./DecisionRegion.html#getRegions()"><B>getRegions()</B></A> - Method in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD> <DT><A HREF="./Matrix.html#getValue(int, int)"><B>getValue(int, int)</B></A> - Method in class <A HREF="./Matrix.html" title="class in <Unnamed>">Matrix</A><DD>gets value at indexed row and column<DT><A HREF="./DisplayArea.html#getWidth()"><B>getWidth()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>gets width of the output canvas<DT><A HREF="./DisplayArea.html#getXPrecision()"><B>getXPrecision()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>get the x value<DT><A HREF="./OutputPanel.html#getXRatio()"><B>getXRatio()</B></A> - Method in class <A HREF="./OutputPanel.html" title="class in <Unnamed>">OutputPanel</A><DD>Gets the X direction Ratio<DT><A HREF="./DisplayArea.html#getYPrecision()"><B>getYPrecision()</B></A> - Method in class <A HREF="./DisplayArea.html" title="class in <Unnamed>">DisplayArea</A><DD>get the y value<DT><A HREF="./OutputPanel.html#getYRatio()"><B>getYRatio()</B></A> - Method in class <A HREF="./OutputPanel.html" title="class in <Unnamed>">OutputPanel</A><DD>Gets the Y direction Ratio<DT><A HREF="./MathUtil.html#grand(double, double)"><B>grand(double, double)</B></A> - Static method in class <A HREF="./MathUtil.html" title="class in <Unnamed>">MathUtil</A><DD>method generates a random distribution centered about the mean with a variance that is specified by the standard deviation.<DT><A HREF="./SubPanel.html#gridbag"><B>gridbag</B></A> - Variable in class <A HREF="./SubPanel.html" title="class in <Unnamed>">SubPanel</A><DD> <DT><A HREF="./DecisionRegion.html#guesses"><B>guesses</B></A> - Variable in class <A HREF="./DecisionRegion.html" title="class in <Unnamed>">DecisionRegion</A><DD> </DL><HR><A NAME="_H_"><!-- --></A><H2><B>H</B></H2><DL><DT><A HREF="./Eigen.html#hqr(Matrix, double[], double[])"><B>hqr(Matrix, double[], double[])</B></A> - Static method in class <A HREF="./Eigen.html" title="class in <Unnamed>">Eigen</A><DD>this routine finds all eignvalues of an upper hessenberg matrix.</DL><HR><A NAME="_I_"><!-- --></A><H2><B>I</B></H2>⌨️ 快捷键说明
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