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Determination of Feeder Areas for the Design of Large Distribution Networks
(2010)
One of the methods for setting distribution tariffs is benchmarking competition. In Chile, a yardstick competition scheme is applied. This yardstick consists of a “model company†that is designed in order to quantify ...
Estimation the Number of Speakers Based on Adaptive Wavelet Transform by Generalized Eigenvalue Decomposition and K-means Clustering
(IEEE, 2019)
The aim of this paper is estimation the number of simultaneous speakers from the overlapped speech signals. The proposed method in this paper is based on spectrum estimation with adaptive wavelet transform in combination ...
Identificación De Patrones De Trayectorias Vehiculares Usando El Algoritmo K-Means
(Universidad de Guayaquil.Facultad de Ciencias Matematicas y Fisicas.Carrera en Ingenieria en Sistemas Computacionales, 2017-07-20)
Esta investigación se centra en el estudio del algoritmo k-means como medio de agrupación de información con el objetivo de poder conocer su funcionamiento y procesamiento de información. De la información obtenida se ...
Lumen segmentation in magnetic resonance images of the carotid artery
(Elsevier B.V., 2016-12-01)
Investigation of the carotid artery plays an important role in the diagnosis of cerebrovascular events. Segmentation of the lumen and vessel wall in Magnetic Resonance (MR) images is the first step towards evaluating any ...
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 ...
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., 2016-08-30)
In this paper, we have applied the k-means clustering algorithm to classify three study groups (people with metabolic syndrome, marathon runners, and sedentary subjects) that underwent a 5-sample 2-hour oral glucose tolerance ...
Bayesian clustering and product partition models
(BLACKWELL PUBL LTD, 2003)
We present a decision theoretic formulation of product partition models (PPMs) that allows a formal treatment of different decision problems such as estimation or hypothesis testing and clustering methods simultaneously. ...
Uma nova forma de calcular os centros dos Clusters em algoritmos de agrupamento tipo fuzzy c-means
(Universidade Federal do Rio Grande do NorteBRUFRNPrograma de Pós-Graduação em Sistemas e ComputaçãoCiência da Computação, 2012-03-30)
Clustering data is a very important task in data mining, image processing and pattern recognition
problems. One of the most popular clustering algorithms is the Fuzzy C-Means (FCM).
This thesis proposes to implement a new ...
Caracterización de pacientes con preeclampsia mediante aprendizaje no supervisado.
(Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales., 2023-03)
La preeclampsia es una de las enfermedades hipertensivas más frecuentes durante el embarazo. Sabiendo las características de estas pacientes se puede realizar una mejor distribución de las áreas médicas dentro del hospital. ...
Clasificación automática simbólica por medio de algoritmos genéticosClasificación automática simbólica por medio de algoritmos genéticos
(Universidad de Costa Rica, Centro de Investigación en Matemática Pura y Aplicada (CIMPA), 2009)