Results 31 to 40 of about 19,750 (179)
Consistency of Archetypal Analysis
SIAM Journal on Mathematics of Data Science, 2021 Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. For fixed $k$, the method finds a convex polytope with $k$ vertices, called archetype points, such that the polytope is contained in the convex hull of the data and the mean squared distance between the data and the polytope is minimal. In
Braxton Osting +3 more
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Near-Convex Archetypal Analysis [PDF]
IEEE Signal Processing Letters, 2020 Nonnegative matrix factorization (NMF) is a widely used linear dimensionality reduction technique for nonnegative data. NMF requires that each data point is approximated by a convex combination of basis elements. Archetypal analysis (AA), also referred to as convex NMF, is a well-known NMF variant imposing that the basis elements are themselves convex ...
Pierre De Handschutter +3 more
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Modeling Patterns in Map Use Contexts and Mobile Map Design Usability
ISPRS International Journal of Geo-Information, 2021 Mobile map applications are increasingly used in various aspects of our lives, leading to an increase in different map use situations and, therefore, map use contexts.
Mona Bartling +4 more
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Archetypal analysis for ordinal data
Information Sciences, 2021 Archetypoid analysis (ADA) is an exploratory approach that explains a set of continuous observations as mixtures of pure (extreme) patterns. Those patterns (archetypoids) are actual observations of the sample which makes the results of this technique easily interpretable, even for non-experts.
Daniel Fernández +2 more
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Archetypal analysis for machine learning [PDF]
2010 IEEE International Workshop on Machine Learning for Signal Processing, 2010 Archetypal analysis (AA) proposed by Cutler and Breiman in [1] estimates the principal convex hull of a data set. As such AA favors features that constitute representative 'corners' of the data, i.e. distinct aspects or archetypes. We will show that AA enjoys the interpretability of clustering - without being limited to hard assignment and the ...
Mørup, Morten; id_orcid 0000-0003-4985-4368 +1 more
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MULTIMODAL UKRAINIAN BRAND NARRATIVE: SEMIOTICS, STRUCTURE, ARCHETYPES [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2023 The aim of the study is to identify the structural-narrative, semiotic, and archetypal properties of the Ukrainian multimodal narrative as a semiotic space of secondary signification and social mythologization. The data for analysis include slogans and
Nataliia K. Kravchenko +1 more
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Ideas, 2020 This study aims at analyzing the representation of women's existence through the archetypal image in the chrysanthemum story. This study uses Carl Jung's archetypal image theory which is supported by Simone de Beauvoir's theoretical concepts.
Desria Natalia Sirait, Tomi Arianto
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, 2011 Discussions on outstanding---positively and/or negatively---athletes are common practice. The rapidly grown amount of collected sports data now allow to support such discussions with state of the art statistical methodology.
Eugster, Manuel J. A.
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Archetypical approach to activity: legitimation by practice
Cхід, 2021 Modern reality needs to be put into practice, asserted as a program of practical activity by newly developed theoretically approaches, among which the archetypal approach seems to be one of the most promising, since it takes into account the real motives
Alla Makarova
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Spider-Man, the Child and the Trickster -- Archetypal Analysis in R [PDF]
, 2008 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 ...
Eugster, Manuel J. A., Leisch, Friedrich
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