similarity parameter - ορισμός. Τι είναι το similarity parameter
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Τι (ποιος) είναι similarity parameter - ορισμός

REAL-VALUED FUNCTION THAT QUANTIFIES THE SIMILARITY BETWEEN TWO OBJECTS
Similarity matrix; Similarity function; Measure of similarity; Similarity metric

Parameter (computer programming)         
IN COMPUTER PROGRAMMING, SPECIAL KIND OF VARIABLE THAT HOLDS DATA THAT WAS PASSED AS AN ARGUMENT TO A SUBROUTINE
Argument (computer science); Argument (programming); Parameter (programming); Formal parameter; Actual parameter; Parameters (computer science); Formal parameters; Function parameter; Argument (computing); Parameter (computer science); Parameter (computing); Output parameter; Out parameter; Return parameter; Argument (computer programming); Input parameter; Input value; Output value; Actual parameters
In computer programming, a parameter or a formal argument is a special kind of variable used in a subroutine to refer to one of the pieces of data provided as input to the subroutine. These pieces of data are the values of the arguments (often called actual arguments or actual parameters) with which the subroutine is going to be called/invoked.
Similarity measure         
In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity 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.
Statistical parameter         
QUANTITY THAT INDEXES A PARAMETRIZED FAMILY OF PROBABILITY DISTRIBUTIONS
Numerical parameter; Population parameter; Statistical measure; Numeric parameter; Statistical parameters; True value
In statistics, as opposed to its general use in mathematics, a parameter is any measured quantity of a statistical population that summarises or describes an aspect of the population, such as a mean or a standard deviation. If a population exactly follows a known and defined distribution, for example the normal distribution, then a small set of parameters can be measured which completely describes the population, and can be considered to define a probability distribution for the purposes of extracting samples from this population.

Βικιπαίδεια

Similarity measure

In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity 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. Though, in more broad terms, a similarity function may also satisfy metric axioms.

Cosine similarity is a commonly used similarity measure for real-valued vectors, used in (among other fields) information retrieval to score the similarity of documents in the vector space model. In machine learning, common kernel functions such as the RBF kernel can be viewed as similarity functions.