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The spherical k-means algorithm is an effective clustering technique that partitions datasets into spherical clusters, preserving data characteristics while grouping similar elements

MATLAB 206 views Tagged

This implementation presents a Bayesian ICA algorithm designed for linear instantaneous mixing models with additive Gaussian noise [1]. The inference problem is resolved through ML-II estimation, where sources are determined by integrating over the source posterior distribution while noise covariance and mixing matrix parameters are optimized by maximizing the marginal likelihood [1].

MATLAB 416 views Tagged