Machine_Learning

所属分类:matlab编程
开发工具:matlab
文件大小:882KB
下载次数:20
上传日期:2013-11-18 14:45:41
上 传 者nomad21
说明:  包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression
(Highlights include unsupervised and supervised machine learning techniques including: • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression)

文件列表:
Machine Learning (0, 2013-08-05)
Machine Learning\Classification (0, 2013-07-24)
Machine Learning\Classification\comparisonPlot.m (916, 2013-07-19)
Machine Learning\Classification\featureImp.m (2777, 2013-07-19)
Machine Learning\Classification\html (0, 2013-07-19)
Machine Learning\Classification\html\MachineLearning.html (53311, 2013-07-19)
Machine Learning\Classification\html\MachineLearning.png (1457, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_01.png (15792, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_02.png (9315, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_03.png (7630, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_04.png (7741, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_05.png (7964, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_06.png (9618, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_07.png (7745, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small.html (53283, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small.png (1508, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_01.png (13863, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_02.png (9312, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_03.png (7776, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_04.png (8583, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_05.png (7821, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_06.png (9610, 2013-07-19)
Machine Learning\Classification\html\MachineLearning_small_07.png (7880, 2013-07-19)
Machine Learning\Classification\ImportBankData.m (2558, 2013-07-19)
Machine Learning\Classification\MachineLearning.m (19991, 2013-07-19)
Machine Learning\Classification\NNfun.m (1218, 2013-07-19)
Machine Learning\Classification\plotBarStackGroups.m (1221, 2013-05-22)
Machine Learning\Classification\preparedataNN.m (1176, 2013-07-19)
Machine Learning\Classification\removequotes.m (426, 2013-07-19)
Machine Learning\Classification\rotateXLabels.m (17853, 2013-05-16)
Machine Learning\Clustering (0, 2013-07-19)
Machine Learning\Clustering\BondData.mat (353609, 2013-07-11)
Machine Learning\Clustering\bubbleplot.m (8575, 2013-07-19)
Machine Learning\Clustering\Example_Clustering.m (12429, 2013-07-19)
Machine Learning\Clustering\html (0, 2013-07-19)
Machine Learning\Clustering\html\Example_Clustering.html (34494, 2013-07-19)
Machine Learning\Clustering\html\Example_Clustering.png (1398, 2013-07-19)
Machine Learning\Clustering\html\Example_Clustering_01.png (29909, 2013-07-19)
Machine Learning\Clustering\html\Example_Clustering_02.png (38765, 2013-07-19)
Machine Learning\Clustering\html\Example_Clustering_03.png (39182, 2013-07-19)
... ...

Classification The data used in this example is publicly available at the UCI Machine Learning Repository: http://archive.ics.uci.edu/ml/datasets/Bank+Marketing Please download the files and place the CSV-files in the same folder as the Classification example files. MachineLearning.m is the main script that needs to be executed. You can execute this script section-by-section. It demostrates the use of different machine learning techniques for a classification problem. This script makes use of the full data set available in bank-full.csv. One could make use of the smaller data set available in bank.csv as one prototypes their code. One may change the call to ImportBankData and provide the other file name as input. Clustering Example_Clustering.m is the main script that needs to be executed. You can execute this script section-by-section. It covers the different partitional and overlapping clustering techniques. Copyright 2013 The MathWorks, Inc.

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