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