Results 31 to 40 of about 2,743,797 (328)
Granular Description of Data: A Comparative Study Regarding to Different Distance Measures
IEEE Access, 2020 In data science, how to depict data in the concise and comprehensive way is an important issue. To address the issue, the key is to construct descriptors that are highly interpretable and can be used to reveal the data structure. Information granules, as
Fanzhong Meng +3 more
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Comparing distance measures on assessed medical device incident data using Average Silhouette Width
Current Directions in Biomedical Engineering, 2018 Many machine learning algorithms depend on the choice of an appropriate similarity or distance measure. Comparing such measures in different domains and on diversely structured data is common, but often performed in regards of an algorithm to cluster or ...
Bayer Christian, Seidel Robin
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Diamond Intuitionistic Fuzzy Sets and Their Applications
IEEE AccessThe primary purpose of this study is to introduce diamond intuitionistic fuzzy sets ( $ \mathcal {D} - IFS$ s). Although several generalizations of intuitionistic fuzzy sets have been introduced in the literature, the constraints of IFSs limit decision ...
Muhammad Bilal Khan +3 more
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Distance Measures between the Interval-Valued Complex Fuzzy Sets
Mathematics, 2019 Complex fuzzy set (CFS) is a recent development in the field of fuzzy set (FS) theory. The significance of CFS lies in the fact that CFS assigned membership grades from a unit circle in the complex plane, i.e., in the form of a complex number whose ...
Songsong Dai, Lvqing Bi, Bo Hu
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Measures of lexical distance between languages
, 2009 The idea of measuring distance between languages seems to have its roots in the work of the French explorer Dumont D'Urville \cite{Urv}. He collected comparative words lists of various languages during his voyages aboard the Astrolabe from 1826 to 1829 ...
Bakker +10 more
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Absolute continuity between the Wiener and stationary Gaussian measures [PDF]
, 1998 It is known that the entropy distance between two Gaussian measures is finite if, and only if, they are absolutely continuous with respect to one another.
Keich, U.
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Shape Similarity Measurement for Known-Object Localization: A New Normalized Assessment
Journal of Imaging, 2019 This paper presents a new, normalized measure for assessing a contour-based object pose. Regarding binary images, the algorithm enables supervised assessment of known-object recognition and localization.
Baptiste Magnier, Behrang Moradi
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Distance and Similarity Measures for Soft Sets
, 2010 In [P. Majumdar, S. K. Samanta, Similarity measure of soft sets, New Mathematics and Natural Computation 4(1)(2008) 1-12], the authors use matrix representation based distances of soft sets to introduce matching function and distance based similarity ...
Ali M. I. +5 more
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Intuitionistic Fuzzy Similarity Measures and Their Role in Classification
Journal of Intelligent Systems, 2016 We present some similarity and distance measures between intuitionistic fuzzy sets (IFSs). Thus, we propose two semi-metric distance measures between IFSs.
Baccour Leila +2 more
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Causality Distance Measures for Multivariate Time Series with Applications
Mathematics, 2021 In this work, we focus on the development of new distance measure algorithms, namely, the Causality Within Groups (CAWG), the Generalized Causality Within Groups (GCAWG) and the Causality Between Groups (CABG), all of which are based on the well-known ...
Achilleas Anastasiou +3 more
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