Results 21 to 30 of about 19,750 (179)
Archetypal Analysis for Nominal Observations [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016 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 convex hull. Recently, a probabilistic formulation has been suggested which extends this framework to
Eugster, Manuel J, A, Seth, Sohan
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Deep Archetypal Analysis [PDF]
, 2019 Published at the German Conference on Pattern Recognition 2019 (GCPR)
Sebastian Mathias Keller +3 more
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Archetypal analysis of COVID-19 in Montana, USA, March 13, 2020 to April 26, 2022. [PDF]
PLoS ONEInfectious disease data can often involve complex spatial patterns intermixed with temporal trends. Archetypal Analysis is a method to mine complex spatio-temporal data, and can be used to discover the dynamics of spatial patterns.
Emily Stone +2 more
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Learning Extremal Representations with Deep Archetypal Analysis. [PDF]
Int J Comput Vis, 2021 AbstractArchetypes represent extreme manifestations of a population with respect to specific characteristic traits or features. In linear feature space, archetypes approximate the data convex hull allowing all data points to be expressed as convex mixtures of archetypes. As mixing of archetypes is performed directly on the input data, linear Archetypal
Keller SM +4 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. We test its effectiveness using artificial data and some data sets arising from real life problems.
Abdul Suleman, Suleman, A.
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Archetypal Analysis++: 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 poor local minima.
Mair, Sebastian, Sjölund, Jens
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From Spider-Man to Hero — Archetypal Analysis in R
Journal of Statistical Software, 2009 Archetypal analysis has the aim to represent observations in a multivariate data setas convex combinations of extremal points. This approach was introduced by Cutler andBreiman (1994); they dened the concrete problem, laid out the theoretical ...
Manuel J. A. Eugster, Friedrich Leisch
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Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysis [PDF]
Communications BiologyDissecting tissue compartments in spatial transcriptomics (ST) remains challenging due to limited spatial resolution and dependence on single-cell reference data.
Demeter Túrós +4 more
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, 2015 We present an extension of classical archetypal analysis (AA). It is motivated by the observation that classical AA is not invariant against strictly monotone increasing transformations. Establishing such an invariance is desirable since it makes AA independent of the chosen measure: representing a data set in meters or log(meters) should lead to ...
Dinu Kaufmann +2 more
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Assorted archetypal tissue analysis: A breakthrough in oncopathology
Journal of Dr. NTR University of Health Sciences, 2017 Assorted Archetypal Tissue Analysis, commonly known as Tissue Microarray (TMA) technology is a highly throughput research tool that has greatly facilitated and accelerated tissue analysis by in-situ technologies.
Sushmita Swain +3 more
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