fuzzy algorithm - traduction vers russe
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fuzzy algorithm - traduction vers russe

CLUSTER ANALYSIS WHERE MEMBERSHIP OF A DATA POINT IN A CLUSTER IS FUZZY
Soft K-means; Fuzzy C-means clustering; FCM algorithm; Applications of fuzzy clustering
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  • Image segmented by fuzzy clustering, with the original (top left), clustered (top right), and membership map (bottom)
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fuzzy algorithm      

математика

нечеткий алгоритм

fuzzy search         
  • A fuzzy Mediawiki search for "angry emoticon" has as a suggested result "andré emotions"
ALGORITHM FOR FINDING STRINGS THAT MATCH A PATTERN APPROXIMATELY
Fuzzy string searching; Fuzzy search; Fuzzy searching; Fuzzy string matching; Fuzzy finder; Approximate substring matching; Approximately matching strings; Fzf; FZF

общая лексика

нечёткий поиск, поиск на основе нечёткой логики

поиск, при котором в список найденных попадают и объекты, не в точности равные искомому, но близкие к нему по какому-то критерию. Позволяет, искать по слову, введенному с ошибкой

Смотрите также

fuzzy logic; search

fuzzy set         
  • Some Key Developments in the Introduction of Fuzzy Set Concepts.<ref name="CADsurvey"/>
SETS WHOSE ELEMENTS HAVE DEGREES OF MEMBERSHIP
Fuzzy sets; Fuzzy set theory; Fuzzification; Fuzzy subset; Credibility(fuzzy); Fuzzy category; Goguen category; Fuzzy Sets; Fuzzy relation equation; Pythagorean fuzzy set; Degree of membership; Uncertain set

общая лексика

нечёткое множество

математика

размытое (нечеткое) множество

Смотрите также

fuzzy logic

Définition

fuzzy subset
In fuzzy logic, a fuzzy subset F of a set S is defined by a "membership function" which gives the degree of membership of each element of S belonging to F.

Wikipédia

Fuzzy clustering

Fuzzy clustering (also referred to as soft clustering or soft k-means) is a form of clustering in which each data point can belong to more than one cluster.

Clustering or cluster analysis involves assigning data points to clusters such that items in the same cluster are as similar as possible, while items belonging to different clusters are as dissimilar as possible. Clusters are identified via similarity measures. These similarity measures include distance, connectivity, and intensity. Different similarity measures may be chosen based on the data or the application.

Traduction de &#39fuzzy algorithm&#39 en Russe