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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 ...
Application of k-means clustering, linear discriminant analysis and multivariate linear regression for the development of a predictive QSAR model on 5-lipoxygenase inhibitors
(Elsevier Science, 2015-04)
In this work, we performed a quantitative structure activity relationship (QSAR) model for a family of 5-lipoxygenase (5-LOX) inhibitors using k-means clustering and linear discriminant analysis (LDA) for the selection of ...
Análisis de medidas no-supervisadas de calidad en clusters obtenidos por K-means y Particle Swarm Optimization
(2009-09-17)
El clustering de datos ayuda a discernir la estructura y simplifica la complejidad de cantidades masivas de datos. Es
una técnica común y se utiliza en diversos campos como, aprendizaje de máquina, minerıa de datos, ...
Using Grip Strength as a Cardiovascular Risk Indicator Based on Hybrid Algorithms
This article shows the application and design of a hybrid algorithm capable of classifying people into risk groups using data such as prehensile strength, body mass index and percentage of fat. The implementation was done ...
Crystalline structure and grain boundary identification in nanocrystalline aluminum using K-means clustering
(IOP Publishing Ltd., 2020-09)
K-means clustering was carried out to identify the atomic structure of nanocrystalline aluminum. For this purpose, per-atom physical quantities were calculated bymeans ofmolecular dynamics simulations, such as the potential ...
Análisis de trayectorias vehiculares GPS para evaluar su calidad de agrupamiento utilizando algoritmos clustering de minería de datos.
(Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería En Sistemas Computacionales, 2018)
El gran volumen de datos espaciales generados por diversos dispositivos: Smartphone, GPS y sensores etc. engloban patrones atractivos en datos, convirtiéndose en un tema interesante para investigadores motivados a encontrar ...
Feature Selection for Image Retrieval based on Genetic Algorithm
This paper describes the development and implementation of feature selection for content based image retrieval. We are working on CBIR system with new efficient technique. In this system, we use multi feature extraction ...
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, ...