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...ky-features.pdf |doi=10.1037/0033-295x.84.4.327}}</ref> is an asymmetric [[similarity measure]] on [[set theory|sets]] that compares a variant to a prototype. Th ...e and <math>\beta</math> corresponds to the weight of the variant. Tversky measures with <math>\alpha + \beta = 1</math> are of special interest.<ref>{{Cite we ...

...s.humanoriented.com/classes/2010/fall/csci568/portfolio_exports/sdaugherty/similarity.html|title = Data Mining Portfolio}}</ref>{{better source|date=July 2023}} ...MC}</math>.<ref>{{Cite web | url=http://people.revoledu.com/kardi/tutorial/Similarity/SimpleMatching.html |title=Simple Matching Coefficient}}</ref>{{better sour ...

{{Short description|Measure of similarity between two protein structures}} ...uare deviation (bioinformatics)|RMSD]] measure. The TM-score indicates the similarity between two structures by a score between <math>(0,1]</math>, where 1 indic ...

...="Simpson1947"/><ref name="Simpson1960"/> is a [[similarity measure]] that measures the overlap between two finite [[Set (mathematics)|set]]s. It is related to [[Category:Similarity measures]] ...

{{short description|Document similarity measure that uses citation analysis}} ...visualizing the Co-citation Proximity Analysis (CPA) approach to document similarity computation.]] ...

...sis]], the '''self-similarity matrix''' is a graphical representation of [[similarity measure|similar]] sequences in a data series. ...merl.com/publications/docs/TR2001-31.pdf|accessdate=2013-11-19}}</ref>). A similarity plot can be the starting point for [[Dot plot (bioinformatics)|dot plots]] ...

...ld of [[signal processing]]. Below are some common methods for calculating similarity. ...tle=Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures |journal=IEEE Signal Processing Magazine |date=January 2009 |volume=26 |iss ...

...s developed to provide a more generalized framework for describing various measures of diversity, and can also be used to test various hypotheses pertaining to ==Zeta diversity as an extension of other measures of diversity== ...

...and it takes values between 0 and 1 with smaller values indicating higher similarity. ...<math>i</math> and <math>j</math> having <math>p</math> descriptors, the similarity <math>S</math> is defined as: ...

{{Short description|Measure of similarity between samples}} ...us is less sensitive to outliers, and can be a robust alternative to other similarity metrics, such as [[Pearson product-moment correlation coefficient|Pearson c ...

...ms such as for displaying the [[Information distance|information theoretic similarity]] between sets of [[Ontology (information science)|ontological terms]].<ref ...active relationships among various [[Quantities of information|information measures]] associated with [[correlated variables]] {{mvar|X}} and {{mvar|Y}}. The a ...

{{Short description|Family of three random counting measures}} ...ala. Throwing stones and collecting bones: Looking for Poisson-like random measures, Mathematical Methods in the Applied Sciences, 2020. [[doi:10.1002/mma.6224 ...

...this index differs from other commonly used indices.<ref>Bloom, S.A. 1981. Similarity indices in community studies: Potential Pitfalls. Marine Ecology--Progress ...ay–Curtis dissimilarity is directly related to the quantitative [[Sørensen similarity index]] <math> QS_{jk}</math> between the same sites: ...

{{Short description|Supervised learning of a similarity function}} ...]], but the goal is to learn a [[similarity function]] that measures how [[Similarity (philosophy)|similar]] or related two objects are. It has applications in [ ...

{{Short description|Measures that characterise color distribution in an image}}{{Orphan|date=June 2016}} ...and retrieve a similar Image. Each comparison between images results in a similarity score, and the lower this score is the more identical the two images are su ...

...hat is [[Invariant (mathematics)|invariant]] under [[Similarity (geometry)|similarity transformation]]s of the curve, and that can be used to measure how far the | contribution = On similarity-invariant fairness measures ...

...tion in the database is described by a weighted amino acid frequency. A [[similarity measure]] in sequence space between a segment (p) and a cluster of segments ...a0 were determined empirically to be 0.5 and 15, respectively. Using this similarity measure, segments of a given length (3 to 15) were clustered via the [[k-me ...

...connected by the ball movement or by some [[Similarity measure|measure of similarity]]. Then, the metrics are obtained by calculating network properties, such a '''Uphill downhill flux''' - Measures the division of labor, or the expertise in moving the ball to the player wi ...

{{Short description|Measue of semantic similarity}} '''SimRank''' is a general [[Semantic similarity|similarity measure]], based on a simple and intuitive [[Graph theory|graph-theoretic m ...

[[Category:Similarity measures]] ...