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FastICA (for independent component analysis) implemented in Clojure
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dlebech/FastICA-in-Clojure
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FastICA is an algorithm for Independent Component Analysis (ICA), first described and implemenented by Hyvarinen et. al. in the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis" The goal of ICA is to find maximally independent components in a mixed dataset. One example application is separating mixed-sound signals into their individual signals. The algorithm was implemented as part of my research/reading with Dejing Dou at the University of Oregon in Spring 2010. It requires the Incanter framework to work properly.
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