Problem Motivation

2014-05-13 13:24

Problem Motivation

Problem common sighted in unsupervised learning as well as supervised learning

Advice for Applying PCA

2014-05-13 08:01

Advice for Applying PCA

We know by now that PCA can reduce the data while representing original data, thus making faster learning algorithm.

Reconstruction from compressed representation

2014-05-13 07:19

Reconstruction from compressed representation

PCA compression thousand into hundred dimensional features

Choosing the Number of Principal Components

2014-05-13 03:02

Choosing the Number of Principal Components

n dimensional features in large data scale usually have arround thousand number that most of them are highly correlated

Principal Component Analysis Algorithm

2014-05-12 03:03

Principal Component Analysis Algorithm

PCA to reduce dimension data

Principal Component Analysis problem formulation

2014-05-10 03:02

Principal Component Analysis problem formulation

PCA the most popular for DR

Motivation II : Data Visualization

2014-05-10 02:45

Motivation II : Data Visualization

Last: DR for compressing data

Motivation I : Data Compression

2014-05-10 02:13

Motivation I : Data Compression

Useful for reduce the computation and less data input making faster process for learning algorithm

K-means algorithm

2014-05-06 13:29

K-means algorithm

Clustering Algorithm is used to classify the data structure that not labeled at the beginning.

Unsupervised Learning: Introduction

2014-05-06 13:19

Unsupervised Learning: Introduction

First Unsupervised Learning algorithm that learn from unclassified data