By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.

Filename	Size	Update
k均值聚类	0	2019-07-31
k均值聚类\MATLAB程序与SPSS聚类结果对比分析	0	2019-07-31
k均值聚类\MATLAB程序与SPSS聚类结果对比分析\data1_K-means(K=3)聚类结果对比.pdf	25692	2018-12-05
k均值聚类\MATLAB程序与SPSS聚类结果对比分析\data1_K-means(K=6)聚类结果对比.pdf	34298	2018-12-05
k均值聚类\MATLAB程序与SPSS聚类结果对比分析\data2_K-means(K=4)聚类结果对比.pdf	29286	2018-12-05
k均值聚类\MATLAB程序与SPSS聚类结果对比分析\聚类结果对比分析.pdf	38841	2018-12-05
k均值聚类\MATLAB程序聚类结果	0	2019-07-31
k均值聚类\MATLAB程序聚类结果\data1聚类结果.pdf	58183	2019-01-07
k均值聚类\MATLAB程序聚类结果\data1聚类结果.xlsx	10582	2018-12-03
k均值聚类\MATLAB程序聚类结果\data1误差平方和折线图.bmp	27562554	2018-12-03
k均值聚类\MATLAB程序聚类结果\data2聚类结果.pdf	53495	2019-01-07
k均值聚类\MATLAB程序聚类结果\data2聚类结果.xlsx	9827	2019-01-07
k均值聚类\数据集和代码	0	2019-07-31
k均值聚类\数据集和代码\data1.xlsx	10021	2018-11-28
k均值聚类\数据集和代码\data2.xlsx	8940	2018-11-28
k均值聚类\数据集和代码\k_means1.m	1259	2018-12-03
k均值聚类\数据集和代码\k_means1代码.doc	45056	2018-12-03
k均值聚类\数据集和代码\k_means2.m	799	2018-12-03
k均值聚类\数据集和代码\k_means2代码.doc	29696	2018-12-03

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