Results 1 to 10 of about 293,978 (266)
Similarity measures for protein ensembles. [PDF]
PLoS ONE, 2009 Analyses of similarities and changes in protein conformation can provide important information regarding protein function and evolution. Many scores, including the commonly used root mean square deviation, have therefore been developed to quantify the ...
Kresten Lindorff-Larsen +1 more
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Spectral Similarity Measures for In Vivo Human Tissue Discrimination Based on Hyperspectral Imaging [PDF]
Diagnostics, 2023 Problem: Similarity measures are widely used as an approved method for spectral discrimination or identification with their applications in different areas of scientific research.
Priya Pathak +10 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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Multivariate Hypergeometric Similarity Measure [PDF]
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2012 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.
Chanchala D, Kaddi +2 more
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Understanding and Using Common Similarity Measures for Text Analysis
The Programming Historian, 2020 This tutorial will focus on measuring distance among texts by describing the advantages and disadvantages of three of the most common distance measures: city block or “Manhattan” distance, Euclidean distance, and cosine distance. In this lesson, you will
John R. Ladd
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A comparative analysis of trajectory similarity measures
GIScience & Remote Sensing, 2021 Computing trajectory similarity is a fundamental operation in movement analytics, required in search, clustering, and classification of trajectories, for example.
Yaguang Tao +9 more
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Absent Color Indexing: Histogram-Based Identification Using Major and Minor Colors
Mathematics, 2022 The color histogram is a statistical behavior for robust pattern search or matching; however, difficulties have arisen in using it to discriminate among similar objects. Our method, called absent color indexing (ABC), describes how to use absent or minor
Ying Tian, Ming Fang, Shun’ichi Kaneko
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SimCAL: a flexible tool to compute biochemical reaction similarity
BMC Bioinformatics, 2018 Background Computation of reaction similarity is a pre-requisite for several bioinformatics applications including enzyme identification for specific biochemical reactions, enzyme classification and mining for specific inhibitors.
Tadi Venkata Sivakumar +4 more
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Axioms, 2023 Intuitionistic fuzzy parameterized intuitionistic fuzzy soft matrices (ifpifs-matrices), proposed by Enginoğlu and Arslan in 2020, are worth utilizing in data classification in supervised learning due to coming into prominence with their ability to model
Samet Memiş +4 more
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IEEE Access, 2021 Cosine and cotangent similarity measurements are critical in applications for determining degrees of difference and similarity between objects. In the literature, numerous similarity measures for various extensions of fuzzy set, soft set, Intuitionistic ...
Muhammad Naveed Jafar +3 more
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