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Subject [CONF] Apache Lucene Mahout > QuickStart
Date Fri, 12 Feb 2010 10:19:00 GMT
Space: Apache Lucene Mahout (
Page: QuickStart (

Edited by Robin Anil:
h1. Download and Installation

* [Download and installation|BuildingMahout]

h1. Running the Examples

Mahout runs on [Apache Hadoop |]. So, to run these examples, install
the latest compatible{footnote}When using a release, see the release notes{footnote}{footnote}When
using trunk, see _parent/pom.xml_{footnote} [Hadoop Common release |].


h2. Clustering

* [Synthetic Control Data|SyntheticControlData]

h2. Classification

* [Twenty Newsgroups|TwentyNewsgroups]
* [Wikipedia|WikipediaBayesExample]

h2. Genetic Programming

* [Watchmaker|Mahout.GA.Tutorial]

h2. Decision Forest

* [Breiman Example]
* [Partial Implementation]

h2. Recommendation mining

This package comes with four examples based on netflix data, bookcrossing, grouplens and jester

* [RecommendationExamples]

h1. Where to Go Next

* If you are working with text, read more on [Creating Vectors from Text]
* To learn more on grouping items by similarity and identifying clusters read more on [Clustering
your data|ClusteringYourData]
* If you want to classify incoming items into predefinied categories read more on [Classifying
your data |ClassifyingYourData]
* To know how to Mine frequent patterns from your data read more on [Parallel Frequent Pattern
* To read more on building recommendation engines have a look at the [Taste documentation
|] and [Taste hadoop commandline|TasteCommandLine]

Go back to the [Main Wiki Page|] for more information. 

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