Space: Apache Mahout (https://cwiki.apache.org/confluence/display/MAHOUT) Page: Quickstart (https://cwiki.apache.org/confluence/display/MAHOUT/Quickstart)
Edited by Frank Scholten: --------------------------------------------------------------------- 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 [Taste documentation |http://lucene.apache.org/mahout/taste.html] and [Taste hadoop commandline|TasteCommandLine] Go back to the [Main Wiki Page|http://cwiki.apache.org/MAHOUT] for more information. Change your notification preferences: https://cwiki.apache.org/confluence/users/viewnotifications.action
