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Arghya RoyChaudhuri
Total Earnings
PHD Computer Engineering Indian Institute of Technology - Bombay 2019
academia 2011 Masters Other - Engineering
Brocade Communication
| Software Engineer 2
18 Jul 2011 - 29 Jun 2012 Bengaluru, India
Platform software development
Juniper Networks
| Software Engineer 2
02 Jul 2012 - 23 Nov 2013 Bengaluru, India
Platform software development
Bengaluru, India
| Lead Software Engineer
Social Audience Pvt Ltd
Scalable Machine-learning tools development for real-time topic discovery and tracking
Projects & Publications
On the relation between K-means and PLSA
11 Nov 2012 to 15 Nov 2012 Link
Non-negative matrix factorization (NMF) is a well known tool for unsupervised machine learning. It can be viewed as a generalization of the K-means clustering, Expectation Maximization based clustering and aspect modeling by Probabilistic Latent Semantic Analysis (PLSA). Specifically PLSA is related to NMF with KL-divergence objective function. Further it is shown that K-means clustering is a special case of NMF with matrix L2 norm based error function. In this paper our objective is to analyze the relation between K-means clustering and PLSA by examining the KL-divergence function and matrix L2 norm based error function.
Activities & Interests

I like Swimming, Running playing Table Tennis. I like to cook delicious dishes.

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