This is a modified version of sofia-ml by D. Sculley. It differs from the original only in two additional parameters for sofia-kmeans RBF cluster mapping:

--cluster_mapping_threshold <float t>

After mapping, the values below the threshold will be set to zero (try t = 0.01 or 0.001). The resulting file might be smaller and sparsyifying in this way may also help supervised learning (smaller error in classification or regression).

Make sure that t is small enough in relation to --cluster_mapping_param, because if all the features are smaller than the threshold, you'll just get a bunch of zeros.

--cluster_mapping_sparsity <int s>

Only use s nearest cluster centers for mapping. It is a stronger alternative to setting a threshold. The results with sparse mapping might be slightly worse, but the file certainly will be way smaller. Recommended for large data sets.

The modified files are:

sofia-ml/cluster-src/sf-cluster-centers.cc
sofia-ml/cluster-src/sf-cluster-centers.h
sofia-ml/src/sofia-kmeans.cc

See http://fastml.com/the-secret-of-the-big-guys/ for more.