文件名称:Bayesian_Classification
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使用高斯模型对威斯康辛州大学医学院长期乳腺癌数据进行了贝叶斯模式识别。识别率为95以上,可以作为模式识别的重要案例。-Gaussian model using the University of Wisconsin School of Medicine conducted a long-term breast cancer data Bayesian pattern recognition. Recognition rate is above 95 can be regarded as an important case of pattern recognition.
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Project 1
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.........\breast_cancer_wisconsin
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.........\.......................\breast_cancer_wisconsin_radom_1.asv
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.........\Project Assignment 1.pdf
.........\Readme File arragement.txt
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.........\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
.........\.......................\wdbc.names
.........\.......................\wpbc.data
.........\.......................\wpbc.names
.........\exercise2.m
.........\Project Assignment 1.pdf
.........\Readme File arragement.txt