【代码】iMWK-means实现
代码用UCI的数据集实现了大牛Renato Cordeiro de Amorim的2012年《Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering》和2015年《Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering》,而且结果跟其文章中的一致。
文件列表
ML-Kmeans.rar
(预估有个8文件)
ML-Kmeans
de Amorim, Hennig - 2015 - Recovering the number of clusters in data sets with noise features using feature rescaling factors.pdf
410KB
Cordeiro de Amorim, Mirkin - 2012 - Minkowski metric, feature weighting and anomalous cluster initializing in K-Means clustering.pdf
299KB
iMW_Kmeans.m
2KB
mainKmeans.m
2KB
iris.data
4KB
New_cmt.m
1KB
i_Kmeans.m
2KB
SubWkMeans.m
5KB
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