/Probabilistic_slow_feature_analysis

Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data

Primary LanguagePythonMIT LicenseMIT

Probabilistic_slow_feature_analysis

Probabilistic Slow Feature Analysis (PSFA) is a leading non-supervised machine learning algorithm to extract slowly varying features from time series data. This rendition of PSFA is effective for extracting slowly varying features from non-stationary and stationary process data