MachineLearning(AndrewNg)Notes-Week8¶
Clustering¶
K-Means Algorithm(K均值 (K-means) 算法)¶
Optimization Objective¶
Random Initialization¶
Choosing the Number of Clusters¶
Motivation¶
Motivation I : Data Compression¶
Motivation II:Visualization¶
Principal Component Analysis(PCA)¶
Principal Component Analysis(PCA)Problem Formulation¶
Principal Component Analysisi Algorithm¶
PCA Applying¶
Reconstruction from Compressed Representation¶
Choosing the Number of Principal Components¶
Advice for Applying PCA¶
