Gaussian model the long-term breast cancer data of the University of Wisconsin School of Medicine the Bayeux Yates pattern recognition. Recognition rate of 95 or more can be used as the pattern recognition of the important cases.

GBayesian_Claa\Project 1\abalone\abalone
..............\.........\.......\abalone.asv
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..............\.........\.......\abalone.names
..............\.........\.......\data.mat
..............\.........\.......\Description.txt
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..............\.........\.......\SplitMatrixRandom.m
..............\.........\breast_cancer_wisconsin\breast-cancer-wisconsin.data
..............\.........\.......................\breast-cancer-wisconsin.names
..............\.........\.......................\breast_cancer_wisconsin.asv
..............\.........\.......................\breast_cancer_wisconsin_even.asv
..............\.........\.......................\breast_cancer_wisconsin_radom.m
..............\.........\.......................\breast_cancer_wisconsin_radom_1.asv
..............\.........\.......................\data.mat
..............\.........\.......................\Description.txt
..............\.........\.......................\exercise1.asv
..............\.........\.......................\ID.mat
..............\.........\.......................\Index.txt
..............\.........\.......................\SplitMatrixRandom.asv
..............\.........\.......................\SplitMatrixRandom.m
..............\.........\.......................\unformatted-data.txt
..............\.........\.......................\wdbc.data
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..............\.........\exercise2.m
..............\.........\Project Assignment 1.pdf
..............\.........\Readme File arragement.txt
..............\.........\abalone
..............\.........\breast_cancer_wisconsin
..............\Project 1
GBayesian_Claa

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