Skip to main content

a cluster-oriented implementation of self-organizing maps

Project description

Somoclu is a massively parallel implementation of self-organizing maps. It relies on OpenMP for multicore execution, MPI for distributing the workload, and it can be accelerated by CUDA on a GPU cluster. A sparse kernel is also included, which is useful for training maps on vector spaces generated in text mining processes.

Currently a subset of the C++ version is supported with this package.

Homepage: https://github.com/peterwittek/somoclu

Example, in which the data file rgbs.txt can be found at https://github.com/peterwittek/somoclu/tree/master/data

#!/usr/bin/env python2
# -*- coding: utf-8 -*-
import somoclu
import numpy as np

data = np.loadtxt('rgbs.txt')
print(data)
data = np.float32(data)
nSomX = 50
nSomY = 50
nVectors = data.shape[0]
nDimensions = data.shape[1]
data1D = np.ndarray.flatten(data)
nEpoch = 10
radius0 = 0
radiusN = 0
radiusCooling = "linear"
scale0 = 0
scaleN = 0.01
scaleCooling = "linear"
kernelType = 0
mapType = "planar"
snapshots = 0
initialCodebookFilename = ''
codebook_size = nSomY * nSomX * nDimensions
codebook = np.zeros(codebook_size, dtype=np.float32)
globalBmus_size = int(nVectors * int(np.ceil(nVectors/nVectors))*2)
globalBmus = np.zeros(globalBmus_size, dtype=np.intc)
uMatrix_size = nSomX * nSomY
uMatrix = np.zeros(uMatrix_size, dtype=np.float32)
somoclu.trainWrapper(data1D, nEpoch, nSomX, nSomY,
                     nDimensions, nVectors,
                     radius0, radiusN,
                     radiusCooling, scale0, scaleN,
                     scaleCooling, snapshots,
                     kernelType, mapType,
                     initialCodebookFilename,
                     codebook, globalBmus, uMatrix)
print codebook
print globalBmus
print uMatrix

Get it now

$ sudo pip install somoclu

Build on Mac OS X:

Before installing using pip, gcc should be installed first. As of OS X 10.9, gcc is just symlink to clang. To build somoclu and this extension correctly, it is recommended to install gcc using something like:

$ brew install gcc48

and set environment using:

export CC=/usr/local/bin/gcc
export CXX=/usr/local/bin/g++
export CPP=/usr/local/bin/cpp
export LD=/usr/local/bin/gcc
alias c++=/usr/local/bin/c++
alias g++=/usr/local/bin/g++
alias gcc=/usr/local/bin/gcc
alias cpp=/usr/local/bin/cpp
alias ld=/usr/local/bin/gcc
alias cc=/usr/local/bin/gcc

Then you can

$ sudo pip install somoclu

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

somoclu-1.3.tar.gz (54.7 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page