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POMahout: CSV to vector and running the program
 

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    <p>I'm analysing the k-means algorithm with Mahout. I'm going to run some tests, observe performance, and do some statistics with the results I get.</p> <p>I can't figure out the way to run my own program within Mahout. However, the command-line interface might be enough.</p> <p>To run the sample program I do</p> <pre><code>$ mahout seqdirectory --input uscensus --output uscensus-seq $ mahout seq2sparse -i uscensus-seq -o uscensus-vec $ mahout kmeans -i reuters-vec/tfidf-vectors -o uscensus-kmeans-clusters -c uscensus-kmeans-centroids -dm org.apache.mahout.common.distance.CosineDistanceMeasure -x 5 -ow -cl -k 25 </code></pre> <p>The dataset is one large CSV file. Each line is a record. Features are comma separated. The first field is an ID. Because of the input format I can not use seqdirectory right away. I'm trying to implement the answer to this similar question <a href="https://stackoverflow.com/questions/8785392/how-to-perform-k-means-clustering-in-mahout-with-vector-data-stored-as-csv">How to perform k-means clustering in mahout with vector data stored as CSV?</a> but I still have 2 Questions:</p> <ol> <li>How do I convert from CSV to SeqFile? I guess I can write my own program using Mahout to make this conversion and then use its output as input for seq2parse. I guess I can use CSVIterator (<a href="https://cwiki.apache.org/confluence/display/MAHOUT/File+Format+Integrations" rel="nofollow noreferrer">https://cwiki.apache.org/confluence/display/MAHOUT/File+Format+Integrations</a>). What class should I use to read and write?</li> <li>How do I build and run my new program? I couldn't figure it out with the book Mahout in action or with other questions here.</li> </ol>
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