Book Image

Haskell Data Analysis Cookbook

By : Nishant Shukla
Book Image

Haskell Data Analysis Cookbook

By: Nishant Shukla

Overview of this book

Table of Contents (19 chapters)
Haskell Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 8. Clustering and Classification

This chapter demonstrates algorithms that intelligently cluster and categorize data:

  • Implementing the k-means clustering algorithm

  • Implementing hierarchical clustering

  • Using a hierarchical clustering library

  • Finding the number of clusters

  • Clustering words by their lexemes

  • Classifying the parts of speech of words

  • Identifying key words in a corpus of text

  • Training a parts-of-speech tagger

  • Implementing a decision tree classifier

  • Implementing a k-Nearest Neighbors classifier

  • Visualizing points using Graphics.EasyPlot