This paper studies how parallel machine learning algorithms can be implemented on top of Microsoft Windows Azure cloud computing platform. More specically, we design ecient storage based communication mechanisms that lead to a scalable implementation of the K-means.
['Fabrice Rossi', 'Matthieu Durut']
Communication Challenges in Cloud K-means