Multivariate hypergeometric similarity measure. [PDF]
IEEE/ACM Trans Comput Biol Bioinform, 2013 We propose a similarity measure based on the multivariate hypergeometric distribution for the pairwise comparison of images and data vectors. The formulation and performance of the proposed measure are compared with other similarity measures using synthetic data.
Kaddi CD, Parry RM, Wang MD.
europepmc +4 more sources
Gait Signal Analysis with Similarity Measure [PDF]
The Scientific World Journal, 2014 Human gait decision was carried out with the help of similarity measure design. Gait signal was selected through hardware implementation including all in one sensor, control unit, and notebook with connector.
Sanghyuk Lee, Seungsoo Shin
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GO functional similarity clustering depends on similarity measure, clustering method, and annotation completeness [PDF]
BMC Bioinformatics, 2019 Background Biological knowledge, and therefore Gene Ontology annotation sets, for human genes is incomplete. Recent studies have reported that biases in available GO annotations result in biased estimates of functional similarities of genes, but it is ...
Meng Liu, Paul D. Thomas
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Similarity Measure and Entropy of Fuzzy Soft Sets [PDF]
The Scientific World Journal, 2014 Soft set theory, proposed by Molodtsov, has been regarded as an effective mathematical tool to deal with uncertainties. Recently, uncertainty measures of soft sets and fuzzy soft sets have gained attentions from researchers.
Zhicai Liu, Keyun Qin, Zheng Pei
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Tangent and Cotangent Similarity Measures of Pentapartitioned Neutrosophic Pythagorean Set In Virtual Education During Covid Pandemic [PDF]
Neutrosophic Sets and Systems, 2023 In this paper, a new tangent and cotangent similarity measures between two Pentapartitioned Neutrosophic Pythagorean [PNP] sets with truth membership, falsity membership, ignorance and contradiction membership as dependent Neutrosophic component is ...
R. Radha +3 more
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A Benchmark Similarity Measures for Fermatean Fuzzy Sets
Bulletin of the Section of Logic, 2022 In this paper, we utilized triangular conorms (S-norm). The essence of using S-norm is that the similarity order does not change using different norms.
Faiz Muhammad Khan +2 more
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Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)
Sensors, 2022 Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani +5 more
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Measures of Neural Similarity [PDF]
Computational Brain & Behavior, 2018 Abstract One fundamental question is what makes two brain states similar. For example, what makes the activity in visual cortex elicited from viewing a robin similar to a sparrow? One common assumption in fMRI analysis is that neural similarity is described by Pearson correlation.
Bobadilla-Suarez, S. +4 more
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Multi-Attribute Decision Making Based on Several Trigonometric Hamming Similarity Measures under Interval Rough Neutrosophic Environment [PDF]
Neutrosophic Sets and Systems, 2018 In this paper, the sine, cosine and cotangent similarity measures of interval rough neutrosophic sets is proposed. Some properties of the proposed measures are discussed.
Surapati Pramanik +3 more
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Decision support system for dementia patients using intuitionistic fuzzy similarity measure
Soft Computing Letters, 2020 Similarity measure confirms the proximity of two objects to each other. This concept can be applied as fuzzy or intuitionistic fuzzy. There are lots of fuzzy similarity measures which had been extended to intuitionistic fuzzy similarity measure, with ...
Hanat Y. Raji-Lawal +3 more
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