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This project compares the performance of SOM versus LVQ in classification problems.
Given two data sets:
‘iris.dat’ has 150 patterns of 3 classes with 4 features.
‘wine.dat’ has 178 patterns of 3 classes with 13 features.
For SOM, use its alg
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Principal component analysis,for study about classification data,develop for svm , lvq etc-Principal component analysis,for study about classification data,develop for svm , lvq etc
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LVQ神经网络，此种方法适合于两分类结果的数据处理-LVQ ANN。This method is suitable for the data processing of the two classification
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本程序用于LVQ神经网络的分类——乳腺肿瘤诊断-This procedure for LVQ neural network classification- breast cancer diagnosis
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Abstract— Identifying exceptional students for
scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limite
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Learning Vector Quantization (LVQ) and k-Nearest
Neighbor for Intrusion Classification
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