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