Apache Mahout 0.9 LDA CVB Example

Hi, I am currently working on a project that needs categorization of documents (UN-structured data) based on internal context of document. I am using Apache mahout clustering solution for the same. So far we have explored Kmeans, Canopy with Kmeans, We have also used Lucene analyzer

Interpret CVB output

I have successfully ran CVB JOB with input k (number of topics) as 20 -x and got the following files as output of the Job 1. CVB output for parameter “*-o*” which is vector file with 20 records. 2. “doc-topic-distributions” for parameter “*-dt*” which is a vector file with 806 records

Issue in interpreting Mahout CVB Output

i am also stuck at the same stage and could not figure out how to relate documents to topic distributions . i saw that the CVB output is a sequence file of vectors as "org.apache.hadoop.io.IntWritable%org.apache.mahout.math.VectorWritable" and the topic distribution file is also same "org.apache

Process UnStructured Data in Mahout for Clustering

Hi All, I have been trying mahout clustering on unstructured data i.e human written data . I have tried mahout clustering algorithms like Kmeans,Canopy+Kmeans and LDA but the results produced are not help full . i see the problem is with the way data is written , Can some one please provide me

Re: Process UnStructured Data in Mahout for Clustering

nds on the nature of data you are clustering. If you have knowledge > about your data, you can figure out the results and you can also set the > correct parameters to the clustering algorithm like number of topics or > number of clusters. > > Cheers, > Donni > > On Thu, Dec 4,

Re: General Instructions about Mahout

yes downloading the source code and building that in Eclipse will be good choice for that you need to have maven installed and configured on your machine . Once you are done you can simply configure the mahout distribution in you class path to use the classes of mahout and create your own project t