I have a file containing vectors of data, where each row contains a comma-separated list of values. I am wondering how to perform k-means clustering on this data using mahout. The example provided in the wiki mentions creating sequenceFiles, but otherwise I am not sure if I need to do some type of conversion in order to obtain these sequenceFiles.
I would recommend manually reading in the entries from the CSV file, creating NamedVectors from them, and then using a sequence file writer to write the vectors in a sequence file. From there on, the KMeansDriver run method should know how to handle these files.
Sequence files encode key-value pairs, so the key would be an ID of the sample (it should be a string), and the value is a VectorWritable wrapper around the vectors.
Here is a simple code sample on how to do this:
List<NamedVector> vector = new LinkedList<NamedVector>(); NamedVector v1; v1 = new NamedVector(new DenseVector(new double[] {0.1, 0.2, 0.5}), "Item number one"); vector.add(v1); Configuration config = new Configuration(); FileSystem fs = FileSystem.get(config); Path path = new Path("datasamples/data"); //write a SequenceFile form a Vector SequenceFile.Writer writer = new SequenceFile.Writer(fs, config, path, Text.class, VectorWritable.class); VectorWritable vec = new VectorWritable(); for(NamedVector v:vector){ vec.set(v); writer.append(new Text(v.getName()), v); } writer.close();
Also, I would recommend reading chapter 8 of Mahout in Action. It gives more details on data representation in Mahout.
maybe you could use Elephant Bird to write vectors in mahout format
https://github.com/kevinweil/elephant-bird#hadoop-sequencefiles-and-pig
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