Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Joaquín Pérez Ortega"'
Autor:
Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, Alicia Martínez-Rebollar
Publikováno v:
Axioms, Vol 13, Iss 9, p 592 (2024)
Fuzzy C-Means is a clustering algorithm widely used in many applications. However, its computational complexity is very large, which prevents its use for large problem instances. Therefore, a hybrid improvement is proposed for the algorithm, which co
Externí odkaz:
https://doaj.org/article/383e3fb86ead48eea6734626c357d926
Autor:
Joaquín Pérez-Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto-Solís, Rodolfo Pazos-Rangel, José María Rodríguez-Lelis
Publikováno v:
Axioms, Vol 13, Iss 1, p 35 (2024)
One of the most used algorithms to solve the fuzzy clustering problem is Fuzzy C-Means; however, one of its main limitations is its high computational complexity. It is known that the efficiency of an algorithm depends, among other factors, on the st
Externí odkaz:
https://doaj.org/article/5e5a230dd06948829d18bd483487c356
Autor:
Joaquín Pérez-Ortega, César David Rey-Figueroa, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Crispín Zavala-Díaz, Salomón García-Paredes, Vanesa Landero-Nájera
Publikováno v:
Mathematics, Vol 11, Iss 8, p 1920 (2023)
Clustering algorithms have proven to be a useful tool to extract knowledge and support decision making by processing large volumes of data. Hard and fuzzy clustering algorithms have been used successfully to identify patterns and trends in many areas
Externí odkaz:
https://doaj.org/article/a4e5b5d93484475daea2f9dcff580e22
Autor:
Andrea Vega-Villalobos, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, Joaquín Pérez-Ortega, Igor Barahona
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread. Most of the existing research related to the mobility of people and COVID-19 spread is foc
Externí odkaz:
https://doaj.org/article/37efea01c5d7497ba72cff2aadefa591
Autor:
José Crispín Zavala-Díaz, Joaquín Pérez-Ortega, Nely Nelva Almanza-Ortega, Jaqueline López-Calderón
Publikováno v:
Programación Matemática y Software, Vol 13, Iss 2 (2021)
Se presenta la paralelización del Cooperation Greedy Monkey Algorithm y el ajuste de parámetros para resolver el problema KP 0-1 (0-1 Knapsack Problem). Los problemas resueltos son tomados de la literatura especializada hasta las instancias estable
Externí odkaz:
https://doaj.org/article/3e0af5a6acfe47abaf782317522ff204
Autor:
Joaquín Pérez-Ortega, Sandra Silvia Roblero-Aguilar, Nelva Nely Almanza-Ortega, Juan Frausto Solís, Crispín Zavala-Díaz, Yasmín Hernández, Vanesa Landero-Nájera
Publikováno v:
Axioms, Vol 11, Iss 8, p 377 (2022)
A hybrid variant of the Fuzzy C-Means and K-Means algorithms is proposed to solve large datasets such as those presented in Big Data. The Fuzzy C-Means algorithm is sensitive to the initial values of the membership matrix. Therefore, a special config
Externí odkaz:
https://doaj.org/article/3922bfc531e54bb8879f85ca238ae154
Autor:
José Crispín Zavala-Díaz, Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Rodolfo Pazos-Rangel, José María Rodríguez-Lelís
Publikováno v:
Entropy, Vol 24, Iss 8, p 1049 (2022)
Predicting the values of a financial time series is mainly a function of its price history, which depends on several factors, internal and external. With this history, it is possible to build an ∊-machine for predicting the financial time series. T
Externí odkaz:
https://doaj.org/article/cf7a280f9bde465d8fd8031148d746b7
Autor:
Joaquín Pérez-Ortega, Nelva Nely Almanza-Ortega, Kirvis Torres-Poveda, Gerardo Martínez-González, José Crispín Zavala-Díaz, Rodolfo Pazos-Rangel
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2167 (2022)
Mexico is among the five countries with the largest number of reported deaths from COVID-19 disease, and the mortality rates associated to infections are heterogeneous in the country due to structural factors concerning population. This study aims at
Externí odkaz:
https://doaj.org/article/396910b898ab40dd8dc8fb434de00496
Autor:
Nelva Nely Almanza-Ortega, Juana María Flores-Vázquez, Héctor Martínez-Añorve, Joaquín Pérez-Ortega, José Crispín Zavala-Díaz, Adriana Mexicano-Santoyo, Jesús Carlos Carmona-Fraustro
Publikováno v:
Procedia Computer Science. 219:586-595
Autor:
Mirna Ponce-Flores, Juan Frausto-Solís, Guillermo Santamaría-Bonfil, Joaquín Pérez-Ortega, Juan J. González-Barbosa
Publikováno v:
Entropy, Vol 22, Iss 1, p 89 (2020)
Entropy is a key concept in the characterization of uncertainty for any given signal, and its extensions such as Spectral Entropy and Permutation Entropy. They have been used to measure the complexity of time series. However, these measures are subje
Externí odkaz:
https://doaj.org/article/b51799221cb946f182432675bcde3ad1