expectation–maximization algorithm
PulseAugur coverage of expectation–maximization algorithm — every cluster mentioning expectation–maximization algorithm across labs, papers, and developer communities, ranked by signal.
No coverage in the last 90 days.
-
New entropic optimal transport loss improves model-based clustering methodology
Researchers have developed a novel loss function for model-based clustering using entropic optimal transport. This new approach aims to overcome the limitations of traditional log-likelihood optimization, which can suff…
-
Physically-informed fuzzy clustering method separates ionogram tracks
Researchers have developed a new physically-informed fuzzy clustering method to analyze vertical sounding ionograms. This technique automatically separates ionograms into distinct tracks, even in disturbed ionospheric c…
-
New HPPCA model improves analysis of longitudinal data with missing values
Researchers have developed Hierarchical Probabilistic Principal Component Analysis (HPPCA), a novel statistical model designed to handle complex longitudinal data with missing values. This two-level probabilistic factor…