Top 10 similarity words for "similarity"

similarities    0.851026

resemblance    0.789677

resemblances    0.729152

affinities    0.648746

differences    0.643164

correlation    0.636670

variation    0.631407

closeness    0.628606

discrepancy    0.617357

relation    0.614331

Top 30 similarity words relationship with "similarity"

Article Related Text
Similarity Similarity may refer to:
Similarity learning A common approach for learning similarity, is to model the similarity function as a bilinear form. For example, in the case of ranking similarity learning, one aims to learn a matrix W that parametrizes the similarity function formula_17.
Similarity measure In statistics and related fields, a similarity measure or similarity function is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity measure exists, usually such measures are in some sense the inverse of distance metrics: they take on large values for similar objects and either zero or a negative value for very dissimilar objects. E.g., in the context of cluster analysis, Frey and Dueck suggest defining a similarity measure
Semantic similarity Similarity learning can often outperform predefined similarity measures.
Similarity transformation Similarity transformation may refer to:
Lexical similarity There are different ways to define the lexical similarity and the results vary accordingly. For example, Ethnologue's method of calculation consists in comparing a standardized set of wordlists and counting those forms that show similarity in both form and meaning. Using such a method, English was evaluated to have a lexical similarity of 60% with German and 27% with French.
Semantic similarity Statistical similarity approaches can be learned from data, or predefined.
Cosine similarity If there is no similarity between features (, for ), the given equation is equivalent to the conventional cosine similarity formula.
Cosine similarity Cosine similarity is a measure of similarity between two non-zero vectors of an inner product space that measures the cosine of the angle between them. The cosine of 0° is 1, and it is less than 1 for any other angle. It is thus a judgment of orientation and not magnitude: two vectors with the same orientation have a cosine similarity of 1, two vectors at 90° have a similarity of 0, and two vectors diametrically opposed have a similarity of -1, independent of their magnitude. Cosine similarity is particularly used in positive space, where the outcome is neatly bounded in [0,1]. The name derives from the term "direction cosine": in this case, note that unit vectors are maximally "similar" if they're parallel and maximally "dissimilar" if they're orthogonal (perpendicular). This is analogous to the cosine, which is unity (maximum value) when the segments subtend a zero angle and zero (uncorrelated) when the segments are perpendicular.
Similarity (geometry) This is known as the "SAS Similarity Criterion".