Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT)
Page: Quickstart (https://cwiki.apache.org/confluence/display/MAHOUT/Quickstart)

Change Comment:
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Fix links

Edited by Jonas Grote:
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h1. Download and Installation

* [Download and installation|BuildingMahout]

h1. Running the Examples

Mahout runs on [Apache Hadoop | http://hadoop.apache.org]. 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 | 
http://hadoop.apache.org/common/]. 

{display-footnotes}

h2. Clustering

* [Clustering of synthetic control data]
* [Visualizing Sample Clusters]
* [Clustering Seinfeld Episodes]


h2. Classification

* [Twenty Newsgroups]
* [Wikipedia Bayes Example]

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 data.

* [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 Mining|Parallel Frequent Pattern Mining]
* To read more on building recommendation engines have a look at the 
[Recommender (Taste) documentation |Recommender Documentation] and [Taste 
hadoop commandline|TasteCommandLine]

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

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