Machine Learning Java Eclipse code which goes along with Stephen Marsland s book Machine Learning

Machine Learning
................\src
................\...\10 Dimension Reduction
................\...\......................\ecoli.py
................\...\......................\factoranalysis.py
................\...\......................\floyd.py
................\...\......................\iris.py
................\...\......................\isomap.py
................\...\......................\kernelpca.py
................\...\......................\kpcademo.py
................\...\......................\lda.py
................\...\......................\lle.py
................\...\......................\pca.py
................\...\......................\pcademo.py
................\...\11 Optimisation
................\...\...............\CG.py
................\...\...............\LevenbergMarquardt.py
................\...\...............\LevenbergMarquardt_leastsq.py
................\...\...............\Newton.py
................\...\...............\steepest.py
................\...\...............\TSP.py
................\...\12 Evolutionary
................\...\...............\exhaustiveKnapsack.py
................\...\...............\fourpeaks.py
................\...\...............\ga.py
................\...\...............\greedyKnapsack.py
................\...\...............\knapsack.py
................\...\...............\PBIL.py
................\...\...............\run_ga.py
................\...\13 Reinforcement
................\...\................\SARSA.py
................\...\................\SARSA_cliff.py
................\...\................\TDZero.py
................\...\................\TDZero_cliff.py
................\...\14 MCMC
................\...\.......\BoxMuller.py
................\...\.......\Gibbs.py
................\...\.......\importancesampling.py
................\...\.......\lcg.py
................\...\.......\MH.py
................\...\.......\rejectionsampling.py
................\...\.......\SIR.py
................\...\15 Graphical Models
................\...\...................\Gibbs.py
................\...\...................\graphdemo.py
................\...\...................\HMM.py
................\...\...................\Kalman.py
................\...\...................\MRF.py
................\...\...................\world.png
................\...\2 Linear
................\...\........\auto-mpg.py
................\...\........\linreg.py
................\...\........\linreg_logic_eg.py
................\...\........\logic.py
................\...\........\pcn.py
................\...\........\pcn_logic_eg.py
................\...\........\pima.py
................\...\3 MLP
................\...\.....\iris.py
................\...\.....\iris_proc.data
................\...\.....\logic.py
................\...\.....\mlp.py
................\...\.....\PNoz.dat
................\...\.....\PNOz.py
................\...\.....\sinewave.py
................\...\4 RBF
................\...\.....\iris.py
................\...\.....\least_squares.py
................\...\.....\rbf.py
................\...\6 Trees
................\...\.......\dtree.py
................\...\.......\party.data
................\...\.......\party.py
................\...\7 Committee
................\...\...........\bagging.py
................\...\...........\boost.py
................\...\...........\car.data
................\...\...........\car.py
................\...\...........\dtw.py
................\...\...........\party.py
................\...\8 Probability
................\...\.............\gaussian.py
................\...\.............\GMM.py
................\...\.............\kdtree.py
................\...\.............\knn.py
................\...\.............\knnSmoother.py
................\...\.............\plotGaussian.py
................\...\.............\ruapehu.dat
................\...\9 Unsupervised
................\...\..............\iris.py
................\...\..............\kmeans.py
................\...\..............\kmeansnet.py
................\...\..............\moredemos.py
................\...\...........

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