Apache Mahout Cookbook

Table of Contents.................
Chapter 1: Mahout is Not So Difficult!
Chapter 2: Using Sequence Files – When and Why?
Chapter 3: Integrating Mahout with an External Datasource
Chapter 4: Implementing the Naϊve Bayes classifier in Mahout
Chapter 5: Stock Market Forecasting with Mahout
Chapter 6: Canopy Clustering in Mahout

Chapter 7: Spectral Clustering in Mahout
Chapter 8: K-means Clustering
Chapter 9: Soft Computing with Mahout
Chapter 10: Implementing the Genetic Algorithm in Mahout
Index

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