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1 clustering
= clustering.Nota: Formación de conjuntos de documentos, referencias, etc., por alguna característica común, como puede ser el tema.Ex. In both cases, a figure can be obtained which is a measure of the degree of association; this can then be used as the basis for clustering.----* algoritmo de clustering = clustering algorithm.* método de clustering aglutinador = agglomerative clustering method.* tendencia de clustering = clustering tendency.* * *= clustering.Nota: Formación de conjuntos de documentos, referencias, etc., por alguna característica común, como puede ser el tema.Ex: In both cases, a figure can be obtained which is a measure of the degree of association; this can then be used as the basis for clustering.
* algoritmo de clustering = clustering algorithm.* método de clustering aglutinador = agglomerative clustering method.* tendencia de clustering = clustering tendency. -
2 algoritmo de clustering
(n.) = clustering algorithmEx. Traditional clustering algorithms either favour clusters with spherical shapes and similar sizes, or are very fragile in the presence of outliers.* * *(n.) = clustering algorithmEx: Traditional clustering algorithms either favour clusters with spherical shapes and similar sizes, or are very fragile in the presence of outliers.
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3 алгоритм кластеризации
Русско-английский словарь по электронике > алгоритм кластеризации
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4 алгоритм кластеризации
Русско-английский словарь по радиоэлектронике > алгоритм кластеризации
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5 алгоритм группирования
Русско-английский исловарь по машиностроению и автоматизации производства > алгоритм группирования
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6 algoritam grupiranja
• clustering algorithm -
7 algoritmo
m.algorithm (Mat).* * *1 algorithm* * *SM algorithm* * *= algorithm.Nota: Conjunto finito de reglas precisas que permiten resolver un problema en un número finito de pasos.Ex. Also, if a simple algorithm for the generation of index entries can be stated then additional entries and references can be printed by computer, using the primary index string as input data.----* algoritmo ? = hill-climbing algorithm.* algoritmo de clustering = clustering algorithm.* algoritmo de envío = routing algorithm.* algoritmo de ordenación por pertinencia = ranking algorithm.* algoritmo genético = genetic algorithm (GA).* con algoritmos = algorithmically.* * *= algorithm.Nota: Conjunto finito de reglas precisas que permiten resolver un problema en un número finito de pasos.Ex: Also, if a simple algorithm for the generation of index entries can be stated then additional entries and references can be printed by computer, using the primary index string as input data.
* algoritmo ? = hill-climbing algorithm.* algoritmo de clustering = clustering algorithm.* algoritmo de envío = routing algorithm.* algoritmo de ordenación por pertinencia = ranking algorithm.* algoritmo genético = genetic algorithm (GA).* con algoritmos = algorithmically.* * *algorithm* * *algoritmo nmMat algorithm* * *m algorithm* * *algoritmo nm: algorithm -
8 алгоритм группирования
Automation: clustering algorithmУниверсальный русско-английский словарь > алгоритм группирования
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9 алгоритм кластеризации
Makarov: clustering algorithmУниверсальный русско-английский словарь > алгоритм кластеризации
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10 алгоритм кластеризации последовательностей
Microsoft: Microsoft Sequence Clustering algorithm (Microsoft)Универсальный русско-английский словарь > алгоритм кластеризации последовательностей
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11 k-groeperingsalgoritme
• k-means clustering algorithmNederlands-Engels Technisch Woordenboek > k-groeperingsalgoritme
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12 алгоритм кластеризации больших массивов данных
Mechanics: clustering large application algorithmУниверсальный русско-английский словарь > алгоритм кластеризации больших массивов данных
См. также в других словарях:
CURE data clustering algorithm — CURE (Clustering Using REpresentatives) is an efficient data clustering algorithm for large databases that is more robust to outliers and identifies clusters having non spherical shapes and wide variances in size. Contents 1 Drawbacks of… … Wikipedia
Canopy clustering algorithm — The canopy clustering algorithm is an unsupervised clustering algorithm related to the K means algorithm.It is intended to speed up clustering operations on large data sets, where using another algorithm directly may be impractical because of the … Wikipedia
Clustering high-dimensional data — is the cluster analysis of data with anywhere from a few dozen to many thousands of dimensions. Such high dimensional data spaces are often encountered in areas such as medicine, where DNA microarray technology can produce a large number of… … Wikipedia
Clustering — can refer to the following: In demographics: Clustering (demographics), the gathering of various populations based on factors such as ethnicity, economics or religion. In graph theory: The formation of clusters of linked nodes in a network,… … Wikipedia
Consensus clustering — Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than objects from different clusters. Often similarity is assessed according to a distance measure.… … Wikipedia
Clustering — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… … Deutsch Wikipedia
Clustering-Verfahren — Unter Clusteranalyse (der Begriff Ballungsanalyse wird selten verwendet) versteht man strukturentdeckende, multivariate Analyseverfahren zur Ermittlung von Gruppen (Clustern) von Objekten, deren Eigenschaften oder Eigenschaftsausprägungen… … Deutsch Wikipedia
k-means clustering — In statistics and data mining, k means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. This results into a partitioning of… … Wikipedia
Nearest-neighbor chain algorithm — In the theory of cluster analysis, the nearest neighbor chain algorithm is a method that can be used to perform several types of agglomerative hierarchical clustering, using an amount of memory that is linear in the number of points to be… … Wikipedia
K-means algorithm — The k means algorithm is an algorithm to cluster n objects based on attributes into k partitions, k < n. It is similar to the expectation maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural… … Wikipedia
Single-linkage clustering — In cluster analysis, single linkage, nearest neighbour or shortest distance is a method of calculating distances between clusters in hierarchical clustering. In single linkage, the distance between two clusters is computed as the distance between … Wikipedia