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Core Concepts in Data Analysis: Summarization, Correlation and Visualization

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Cover of 'Core Concepts in Data Analysis: Summarization, Correlation and Visualization'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: What Is Core
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    Chapter 2 1D Analysis: Summarization and Visualization of a Single Feature
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    Chapter 3 2D Analysis: Correlation and Visualization of Two Features
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    Chapter 4 Learning Multivariate Correlations in Data
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    Chapter 5 Principal Component Analysis and SVD
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    Chapter 6 K-Means and Related Clustering Methods
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    Chapter 7 Hierarchical Clustering
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    Chapter 8 Approximate and Spectral Clustering for Network and Affinity Data
Attention for Chapter 6: K-Means and Related Clustering Methods
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