Automatically exported from code.google.com/p/clouddalvq
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
ClientApp
CloudDALVQ
CloudDALVQTests
ParallelCLVQ
Resources
.hgignore
AsyncQuantization.5.0.ReSharper.user
AsyncQuantization.suo
CloudDALVQ.sln
README.md

README.md

Scientific project for testing new large scale clustering/quantization algorithms. These algorithms are typically distributed and asynchronous. The code is written in C#/.NET (4.0) and runs on Microsoft Azure Platform. The project is built using Lokad.Cloud which provides an O/C (Object to Cloud) Mapper and an 'execution framework' that leverages low level technicalities of MS Azure.

This project follows theoretical work made by Patra that can be found in Journal of Machine Learning Research 12 (2011) 3431-3466

This project is also naturally linked to the first work of Durut and Rossi on Azure implementation of the popular batch KMeans algorithm

This work has been funded by Lokad SAS