Results 1 to 10 of about 23,083,115 (240)
Probabilistic archetypal analysis [PDF]
Machine Learning, 2016 Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximating the convex hull of the observations assumes them to be real valued ...
Seth, Sohan, Eugster, Manuel J.A.
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Archetypal analysis of “Cinderella” [PDF]
SHS Web of Conferences, 2021 Psychologists often use the name of the protagonist of the fairy tale “Cinderella”, which is famous thanks to the brothers Grimm and Charles Perrault, for a sacrificial girl prone to dissociation, illusions, and waiting for a prince.
Victor O. Pigulevskiy +3 more
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Archetypal Analysis for population genetics
PLOS Computational Biology, 2022 The estimation of genetic clusters using genomic data has application from genome-wide association studies (GWAS) to demographic history to polygenic risk scores (PRS) and is expected to play an important role in the analyses of increasingly diverse ...
Ioannidis, Alexander G. +4 more
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Weighted and Robust Archetypal Analysis [PDF]
Computational Statistics & Data Analysis, 2010 Archetypal analysis represents observations in a multivariate data set as convex combinations of a few extremal points lying on the boundary of the convex hull.
Eugster, Manuel J. A., Leisch, Friedrich
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Archetypal Analysis for Nominal Observations [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015 Archetypal analysis is a popular exploratory tool that explains a set of observations as compositions of few ‘pure’ patterns. The standard formulation of archetypal analysis addresses this problem for real valued observations by finding the approximate ...
Seth, Sohan, Eugster, Manuel
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A Configurational Approach to Leadership Behavior Through Archetypal Analysis
Frontiers in Psychology, 2023 The behavioral approach to leadership, which has introduced leadership styles, has been of great importance to the leadership field. Despite its importance, scholars have recently argued and demonstrated that these styles have various conceptual ...
Janka I Stoker +2 more
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Validation of archetypal analysis [PDF]
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017 We use an information-theoretic criterion to assess the goodness-of-fit of the output of archetypal analysis (AA), also intended as a fuzzy clustering tool. It is an adaptation of an existing AIC-like measure to the specifics of AA.
Abdul Suleman, Suleman, A.
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From Spider-man to Hero - archetypal analysis in R [PDF]
Journal of Statistical Software, 2009 Archetypal analysis has the aim to represent observations in a multivariate data set as convex combinations of extremal points. This approach was introduced by Cutler and Breiman (1994); they defined the concrete problem, laid out the theoretical ...
Manuel Eugster (20199036) +1 more
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Archetypal Analysis and DEA Model, Their Application on Financial Data and Visualization With PHATE
Entropy, 2022 One of the goals of macroeconomic analysis is to rank and segment enterprises described by many financial indicators. The segmentation can be used for investment strategies or risk evaluation. The aim of this research was to distinguish groups of similar
Marek Karwanski
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Archetypal Analysis++ [Elektronisk resurs] : Rethinking the Initialization Strategy
CoRR, 2023 Archetypal analysis is a matrix factorization method with convexity constraints. Due to local minima, a good initialization is essential, but frequently used initialization methods yield either sub-optimal starting points or are prone to get stuck in ...
Mair, Sebastian,, Sjölund, Jens,
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