ex7-kmeans and PCA

代码说明：

说明：  K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心。聚类中心以及分配给它们的对象就代表一个聚类。一旦全部对象都被分配了，每个聚类的聚类中心会根据聚类中现有的对象被重新计算。这个过程将不断重复直到满足某个终止条件。终止条件可以是没有（或最小数目）对象被重新分配给不同的聚类，没有（或最小数目）聚类中心再发生变化，误差平方和局部最小。(K-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.)

文件列表：

ex7-kmeans and PCA, 0 , 2018-12-24
ex7-kmeans and PCA\2- 2D kmeans.ipynb, 164013 , 2018-12-03
__MACOSX, 0 , 2019-01-16
__MACOSX\ex7-kmeans and PCA, 0 , 2019-01-16
__MACOSX\ex7-kmeans and PCA\._2- 2D kmeans.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\4- 2D PCA.ipynb, 68633 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._4- 2D PCA.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\1- visualize data.ipynb, 46734 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._1- visualize data.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\ML-Exercise7.ipynb, 397107 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._ML-Exercise7.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\3- kmeans for image compression.ipynb, 308046 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._3- kmeans for image compression.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\ex7.pdf, 715940 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._ex7.pdf, 172 , 2018-12-03
ex7-kmeans and PCA\5- PCA on face data.ipynb, 695801 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._5- PCA on face data.ipynb, 172 , 2018-12-03
ex7-kmeans and PCA\.ipynb_checkpoints, 0 , 2018-12-03
ex7-kmeans and PCA\data, 0 , 2019-01-14
ex7-kmeans and PCA\data\ex7data1.mat, 995 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\data, 0 , 2019-01-16
__MACOSX\ex7-kmeans and PCA\data\._ex7data1.mat, 172 , 2018-12-03
ex7-kmeans and PCA\data\ex7faces.mat, 11027767 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\data\._ex7faces.mat, 172 , 2018-12-03
ex7-kmeans and PCA\data\ex7data2.mat, 4784 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\data\._ex7data2.mat, 172 , 2018-12-03
ex7-kmeans and PCA\data\bird_small.png, 33031 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\data\._bird_small.png, 172 , 2018-12-03
ex7-kmeans and PCA\data\bird_small.mat, 45606 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\data\._bird_small.mat, 172 , 2018-12-03
__MACOSX\ex7-kmeans and PCA\._data, 172 , 2019-01-14
__MACOSX\._ex7-kmeans and PCA, 172 , 2018-12-24