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R2012a Documentation → Statistics Toolbox
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Contents

Index

• Getting Started

• User's Guide

• Organizing Data

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Random Number Generation

• Hypothesis Tests

• Analysis of Variance

• Parametric Regression Analysis

• Multivariate Methods

• Cluster Analysis

Introduction to Cluster Analysis

• Hierarchical Clustering

Introduction to Hierarchical Clustering

Algorithm Description

Similarity Measures

Verifying the Cluster Tree

Creating Clusters

• K-Means Clustering

Introduction to K-Means Clustering

Creating Clusters and Determining Separation

Determining the Correct Number of Clusters

Avoiding Local Minima

• Gaussian Mixture Models

Introduction to Gaussian Mixture Models

Clustering with Gaussian Mixtures

• Parametric Classification

• Nonparametric Supervised Learning

• Markov Models

• Design of Experiments

• Statistical Process Control

• Parallel Statistics

Sample Data Sets

• Distribution Reference

• Release Notes

Cluster Analysis

Feature Transformation

Feature Transformation

Introduction to Cluster Analysis

Introduction to Cluster Analysis

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