metric similarity
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Similarity (geometry) — Geometry = Two geometrical objects are called similar if one is congruent to the result of a uniform scaling (enlarging or shrinking) of the other. One can be obtained from the other by uniformly stretching , possibly with additional rotation,… … Wikipedia
Metric tree — This article is about the data structure. For the type of metric space, see Real tree. A metric tree is any tree data structure specialized to index data in metric spaces. Metric trees exploit properties of metric spaces such as the triangle… … Wikipedia
Similarity — Similar redirects here. For the place in India, see Shimla. Contents 1 Specific definitions 2 In mathematics 3 In computer science 4 In other fields … Wikipedia
Semantic similarity — or semantic relatedness is a concept whereby a set of documents or terms within term lists are assigned a metric based on the likeness of their meaning / semantic content. Concretely, this can be achieved for instance by defining a topological… … Wikipedia
String metric — String metrics (also known as similarity metrics) are a class of textual based metrics resulting in a similarity or dissimilarity (distance) score between two pairs of text strings for approximate matching or comparison and in fuzzy string… … Wikipedia
Cosine similarity — is a measure of similarity between two vectors by measuring the cosine of the angle between them. The cosine of 0 is 1, and less than 1 for any other angle. The cosine of the angle between two vectors thus determines whether two vectors are… … Wikipedia
Hutchinson metric — In mathematics, the Hutchinson metric is a function which measures the discrepancy between two images for use in fractal image processing and can also be applied to describe the similarity between DNA sequences expressed as real or complex… … Wikipedia
Dilation (metric space) — In mathematics, a dilation is a function f from a metric space into itself that satisfies the identity for all points (x,y) where d(x,y) is the distance from x to y and r is some positive real number. In Euclidean space, such a dilation is a… … Wikipedia
Nearest neighbor search — (NNS), also known as proximity search, similarity search or closest point search, is an optimization problem for finding closest points in metric spaces. The problem is: given a set S of points in a metric space M and a query point… … Wikipedia
Projective geometry — is a non metrical form of geometry, notable for its principle of duality. Projective geometry grew out of the principles of perspective art established during the Renaissance period, and was first systematically developed by Desargues in the 17th … Wikipedia
Multidimensional scaling — (MDS) is a set of related statistical techniques often used in information visualization for exploring similarities or dissimilarities in data. MDS is a special case of ordination. An MDS algorithm starts with a matrix of item–item similarities,… … Wikipedia
