Results 11 to 20 of about 22,053,960 (269)
Weighted and robust archetypal analysis [PDF]
Computational Statistics and Data Analysis, 2011 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. Data points which vary from the majority have great influence on the solution; in fact one outlier can break down the archetype solution. This paper adapts the original algorithm to be a robust
Friedrich Leisch, Manuel J A Eugster
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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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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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Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
Remote Sensing, 2021 Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal.
Xiuwei Zhang +2 more
exaly +3 more sources
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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Probabilistic methods for approximate archetypal analysis
Information and Inference: A Journal of the IMA, 2022 Abstract Archetypal analysis (AA) is an unsupervised learning method for exploratory data analysis. One major challenge that limits the applicability of AA in practice is the inherent computational complexity of the existing algorithms. In this paper, we provide a novel approximation approach to partially address this issue.
Ruijian Han +3 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
doaj +2 more sources