K-Means算法,不要求建立模型之后对结果进行新的预测，没有相应的标签，只是根据数据的特征对数据进行聚类。主成分分析降维对数据进行可视化操作,对features进行降维.
资源文件列表
Homework3/computeCentroids.m , 1207
Homework3/displayData.m , 1502
Homework3/drawLine.m , 232
Homework3/ex3.m , 3037
Homework3/ex3data1.mat , 995
Homework3/ex3data2.mat , 4784
Homework3/ex3_pca.m , 3177
Homework3/featureNormalize.m , 510
Homework3/findClosestCentroids.m , 994
Homework3/Homework3.docx , 22536
Homework3/kMeansInitCentroids.m , 602
Homework3/pca.m , 842
Homework3/plotDataPoints.m , 434
Homework3/plotProgresskMeans.m , 840
Homework3/projectData.m , 928
Homework3/recoverData.m , 983
Homework3/runkMeans.m , 1974
Homework3/~$mework3.docx , 162