Journal ArticleDOI
I-Scal: Multidimensional scaling of interval dissimilarities
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TLDR
A new algorithm called I-Scal, based on iterative majorization, that has the advantage that each iteration is guaranteed to improve the solution until no improvement is possible is developed.About:
This article is published in Computational Statistics & Data Analysis.The article was published on 2006-11-01. It has received 46 citations till now. The article focuses on the topics: Multidimensional scaling & Interval (mathematics).read more
Citations
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Dobór początkowych współrzędnych w skalowaniu wielowymiarowym obiektów symbolicznych
Andrzej Dudek,Marcin Pełka +1 more
Proceedings ArticleDOI
Two-Mode Three-Way Dominance Points Model for Periodic Dissimilarity
Jun Tsuchida,Hiroshi Yadohisa +1 more
TL;DR: A two-mode three-way dominance point model using a hypersphere that considers the order of condition and introduces the majorizing function of the objective function of this model and obtains the estimator using the majorization-minimization algorithm.
Pred%ct%on of H%gh-Power Hear%ng A%d for Aud%ology Pat%ents Us%ng Data M%n%ng Techn%ques
TL;DR: In this paper , the authors proposed a method to solve the problem of homonymity in homonym identification, i.e., homonymization, in the context of homology.
References
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Journal ArticleDOI
Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
TL;DR: The fundamental hypothesis is that dissimilarities and distances are monotonically related, and a quantitative, intuitively satisfying measure of goodness of fit is defined to this hypothesis.
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Nonmetric multidimensional scaling: A numerical method
TL;DR: The numerical methods required in the approach to multi-dimensional scaling are described and the rationale of this approach has appeared previously.
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Some distance properties of latent root and vector methods used in multivariate analysis
TL;DR: In this paper, the authors derived necessary and sufficient conditions for a solution to exist in real Euclidean space for a multivariate multivariate sample of size n as points P1, P2,..., PI in a Euclidian space and discussed the interpretation of the distance A(Pi, Pj) between the ith and jth members of the sample.
Journal ArticleDOI
Modern Multidimensional Scaling: Theory and Applications
TL;DR: The four Purposes of Multidimensional Scaling, Special Solutions, Degeneracies, and Local Minima, and Avoiding Trivial Solutions in Unfolding are explained.