related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects...

analysis, cosine similarity is a measure of similarity between two non-zero vectors defined in an inner product space. Cosine similarity is the cosine of...

The structural similarity index measure (SSIM) is a method for predicting the perceived quality of digital television and cinematic pictures, as well as...

Matrix similarity, a relation between matrices Similarity measure, a function that quantifies the similarity of two objects Cosine similarity, which uses...

provides a functional similarity measure between chemical compounds and metabolic pathways using ChEBI based semantic similarity measures. CESSM provides a...

distance measures are molecule kernels, that measure the structural similarity of chemical compounds. The similarity-based virtual screening (a kind of ligand-based...

or Tanimoto coefficient in some fields. The Jaccard coefficient measures similarity between finite sample sets and is defined as the size of the intersection...

(also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings...

automatically. Image similarities are broadly used in medical imaging. An image similarity measure quantifies the degree of similarity between intensity...

score Czekanowski's binary (non-quantitative) index Measure of genetic similarity Zijdenbos similarity index, referring to a 1994 paper of Zijdenbos et al...

sequence are equal in measure. However, proportionality of corresponding sides is not by itself sufficient to prove similarity for polygons beyond triangles...

techniques for measuring text similarity in medoid-based clustering: Cosine similarity is a widely used measure to compare the similarity between two pieces...

(DTW) is an algorithm for measuring similarity between two temporal sequences, which may vary in speed. For instance, similarities in walking could be detected...

TM-score is a measure of similarity between two protein structures. The TM-score is intended as a more accurate measure of the global similarity of full-length...

; Evans, Selby H. (March 1970), "Pythagorean distance and the judged similarity of schematic stimuli", Perception & Psychophysics, 7 (2): 103–107, doi:10...

association study Image similarity identification VisualRank Gene expression similarity identification[citation needed] Audio similarity identification Nearest...

The Adamic–Adar measure is the sum of the log of the intersection of the neighbors of two nodes. This captures a two-hop similarity, which can yield...

statistics, Gower's distance between two mixed-type objects is a similarity measure that can handle different types of data within the same dataset and...

and the concept distance represents travelling times or cost, or a similarity measure between DNA fragments. The TSP also appears in astronomy, as astronomers...

The Tversky index, named after Amos Tversky, is an asymmetric similarity measure on sets that compares a variant to a prototype. The Tversky index can...

degrees of similarity into one overall degree of similarity. The corresponding function is sometimes referred to as a similarity measure. One problem...

SimRank is a general similarity measure, based on a simple and intuitive graph-theoretic model. SimRank is applicable in any domain with object-to-object...

or Szymkiewicz–Simpson coefficient,[citation needed] is a similarity measure that measures the overlap between two finite sets. It is related to the Jaccard...

the dynamics that increase a similarity measure between the sets of models and signals, L({X},{M}). The similarity measure is a function of model parameters...

wise similarity computations. Similarity computation may then rely on the traditional cosine similarity measure, or on more sophisticated similarity measures...

class. There are three fundamental approaches to constructing measures of network similarity: structural equivalence, automorphic equivalence, and regular...

seemingly distinct concepts have many similarities and can often be treated together in a single mathematical context. Measures are foundational in probability...

limit) and one (when x = x'), it has a ready interpretation as a similarity measure. The feature space of the kernel has an infinite number of dimensions;...

linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would...

In mathematics, the Fréchet distance is a measure of similarity between curves that takes into account the location and ordering of the points along the...