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Comparative Study on Ant Colony Optimization (ACO) and K-Means Clustering Approaches for Jobs Scheduling and Energy Optimization Model in Internet of Things (IoT)
The concept of Internet of Things (IoT) was proposed by Professor Kevin Ashton of the Massachusetts Institute of Technology (MIT) in 1999. IoT is an environment that people understand in many different ways depending on ...
Algoritmos Conceptuales Restringidos basados en SemillasRestricted Conceptual Clustering Algorithms based on Seeds
(Computación y Sistemas, 2009)
A cluster approach to cloud cover classification over South America and adjacent oceans using a k-means/k-means++ unsupervised algorithm on GOES IR imagery
(Molecular Diversity Preservation International, 2020-09)
An unsupervised k-means/k-means++ clustering algorithm was implemented on daily images of standardized anomalies of brightness temperature (Tb) derived from the Geostationary Operational Environmental Satellite (GOES)-13 ...
A cluster approach to cloud cover classification over south america and adjacent oceans using a k-means/k-means++ unsupervised algorithm on goes ir imagery
(Molecular Diversity Preservation International, 2020)
Abstract: An unsupervised k-means/k-means++ clustering algorithm was implemented on daily images of standardized anomalies of brightness temperature (Tb) derived from the Geostationary Operational Environmental Satellite ...
QK-Means: A Clustering Technique Based on Community Detection and K-Means for Deployment of Cluster Head Nodes
(Ieee, 2012-01-01)
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 ...
Combining multiple metadata types in movies recommendation using ensemble algorithms
(Universidade Federal da Paraíba – UFPBNúcleo de Pesquisa e Extensão em Aplicações de Vídeo Digital - LAViDSociedade Brasileira de Computação – SBCJoão Pessoa, 2014-11)
In this paper, we analyze the application of ensemble algorithms to improve the ranking recommendation problem with multiple metadata. We propose three generic ensemble strategies that do not require modification of the ...
Classification of metabolic syndrome subjects and marathon runners with the k-means algorithm using heart rate variability features
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2018)
Evaluation of algorithms for traffic sign detection
(2019-09)
Traffic sign detection is a crucial task in autonomous driving systems. Due to its importance, several techniques have been used to solve this problem. In this work, the three more common approaches are evaluated. The first ...
Monitoring of structural integrity using unsupervised data clustering techniques
(2015-01-01)
This work presents a comparative study of three unsupervised data clustering techniques used to perform the monitoring of the structural integrity of an agricultural tractor. The techniques used in this study are: K-Means, ...