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FastICA è un popolare algoritmo per l'anal … FastICA è un popolare algoritmo per l'analisi delle componenti indipendenti, sviluppato da Aapo Hyvärinen presso la Helsinki University of Technology. L'algoritmo è basato su un punto fisso, schema iterativo per massimizzare la non-gaussianità di una misura statistica di indipendenza. L'algoritmo può anche essere derivato dall'iterazione approssimata di Newton.to dall'iterazione approssimata di Newton.
, FastICA is an efficient and popular algori … FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. Like most ICA algorithms, FastICA seeks an orthogonal rotation of prewhitened data, through a fixed-point iteration scheme, that maximizes a measure of non-Gaussianity of the rotated components. Non-gaussianity serves as a proxy for statistical independence, which is a very strong condition and requires infinite data to verify. FastICA can also be alternatively derived as an approximative Newton iteration.ived as an approximative Newton iteration.
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FastICA è un popolare algoritmo per l'anal … FastICA è un popolare algoritmo per l'analisi delle componenti indipendenti, sviluppato da Aapo Hyvärinen presso la Helsinki University of Technology. L'algoritmo è basato su un punto fisso, schema iterativo per massimizzare la non-gaussianità di una misura statistica di indipendenza. L'algoritmo può anche essere derivato dall'iterazione approssimata di Newton.to dall'iterazione approssimata di Newton.
, FastICA is an efficient and popular algori … FastICA is an efficient and popular algorithm for independent component analysis invented by Aapo Hyvärinen at Helsinki University of Technology. Like most ICA algorithms, FastICA seeks an orthogonal rotation of prewhitened data, through a fixed-point iteration scheme, that maximizes a measure of non-Gaussianity of the rotated components. Non-gaussianity serves as a proxy for statistical independence, which is a very strong condition and requires infinite data to verify. FastICA can also be alternatively derived as an approximative Newton iteration.ived as an approximative Newton iteration.
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