Matrix Approximation in Data Streams

Approximate a matrix without having all of its rows

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Matrix approximation is a heavily studied sub-field in data mining and machine learning. A large set of data analysis tasks rely on obtaining a low rank approximation of matrices. Examples are dimensionality reduction, anomaly detection, data de-noising, clustering, and recommendation systems. In this article, we…