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Mostrando ítems 11-20 de 1716
QK-Means: A clustering technique based on community detection and K-Means for deployment of cluster head nodes
(2012-08-22)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
Classification of LiDAR data over building roofs using k-means and principal component analysisClassificação de dados LiDAR sobre telhados de edificações usando k-médias e análise de componentes principais
(2018-01-01)
The classification is an important step in the extraction of geometric primitives from LiDAR data. Normally, it is applied for the identification of points sampled on geometric primitives of interest. In the literature ...
K-means algorithm based on stochastic distances for polarimetric synthetic aperture radar image classification
(2016-10-01)
The availability of polarimetric synthetic aperture radar (PolSAR) images has increased, and consequently, the classification of such images has received immense attention. Among different classification methods in the ...
Parallelization of the Algorithm K-means Applied in Image Segmentation
(International Journal of Computer Applications, 2014-01-01)
Algorithm k-means is useful for grouping operations; however, when is applied to large amounts of data, its computational cost is high. This research propose an optimization of k-means algorithm by using parallelization ...
ANÁLISE DE FUNÇÕES DE MEDIDA PARA O MÉTODO K-MEANS
(Florianópolis, SC, 2018)
Uma análise do algoritmo K-means como introdução ao aprendizado de máquinas
(Universidade Federal do TocantinsAraguaínaCURSO::ARAGUAÍNA::PRESENCIALAraguaínaGraduação, 2020)
Infected Fruit Part Detection using K-Means Clustering Segmentation Technique
Nowadays, overseas commerce has increased drastically in many countries. Plenty fruits are imported from the other nations such as oranges, apples etc. Manual identification of defected fruit is very time consuming. This ...