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ORCIDNelva Nely Almanza Ortega
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2020 – today
- 2024
[j10]Joaquín Pérez Ortega, Carlos Fernando Moreno-Calderón
, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, Juan Frausto Solís, Rodolfo A. Pazos Rangel, José María Rodríguez-Lelis:
A New Criterion for Improving Convergence of Fuzzy C-Means Clustering. Axioms 13(1): 35 (2024)- [j9]Joaquín Pérez Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, Juan Frausto Solís, Rodolfo A. Pazos Rangel, Alicia Martínez Rebollar:
Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity. Axioms 13(9): 592 (2024) - [j8]Manuel S. Lazo-Cortés, Guillermo Sánchez-Díaz, Nelva Nely Almanza Ortega:
Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation. Int. J. Approx. Reason. 170: 109187 (2024) - 2022
- [j7]Joaquín Pérez Ortega, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, Juan Frausto Solís, José Crispín Zavala Díaz, Yasmín Hernández, Vanesa Landero-Nájera:
Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms. Axioms 11(8): 377 (2022) - [j6]Nelva Nely Almanza Ortega, Joaquín Pérez Ortega, José Crispín Zavala Díaz, José Solis-Romero:
Comparative Analysis of K-Means Variants Implemented in R. Computación y Sistemas 26(1) (2022) - [j5]José Crispín Zavala Díaz, Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Rodolfo A. Pazos Rangel, José María Rodríguez-Lelis:
Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine. Entropy 24(8): 1049 (2022) - [c7]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:
Corrosion Analysis Through an Adaptive Preprocessing Strategy Using The K-Means Algorithm. CENTERIS/ProjMAN/HCist 2022: 586-595 - 2021
- [c6]Joaquín Pérez Ortega, Andrea Vega-Villalobos, Nelva Nely Almanza Ortega, Rodolfo A. Pazos Rangel, José Crispín Zavala Díaz, José María Rodríguez-Lelis, Yasmín Hernández:
Prediction of Diabetes Mortality in Mexico City Applying Data Science. IWAIPR 2021: 211-218 - 2020
- [c5]Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Nelva Nely Almanza Ortega:
Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers. MCPR 2020: 67-75
2010 – 2019
- 2019
- [c4]José Solis-Cordova, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, José Solis-Romero:
Grey-Fuzzy Approach to Support the Optimisation of the Shot Peening Process. MICAI 2019: 377-390 - 2018
- [j4]Joaquín Pérez Ortega, Miguel Angel Hidalgo, Noé Alejandro Castro-Sánchez, Rodolfo A. Pazos Rangel, Ocotlán Díaz-Parra, Víctor Olivares-Peregrino, Nelva Nely Almanza Ortega:
An Efficient Heuristic Applied to the K-means Algorithm for the Clustering of Large Highly-Grouped Instances. Computación y Sistemas 22(2) (2018) - [j3]Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Jorge A. Ruiz-Vanoye, Rodolfo A. Pazos Rangel, Socorro Sáenz-Sánchez, José María Rodríguez-Lelis, Alicia Martínez Rebollar:
A-means: improving the cluster assignment phase of k-means for Big Data. Int. J. Comb. Optim. Probl. Informatics 9(2): 3-10 (2018) - 2017
- [c3]Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Jessica Adams-López, Moisés González-García, Adriana Mexicano, Socorro Sáenz-Sánchez, José María Rodríguez-Lelis:
Improving the Efficiency of the K-medoids Clustering Algorithm by Getting Initial Medoids. WorldCIST (1) 2017: 125-132 - 2016
- [c2]Adriana Mexicano, Salvador Cervantes, Ricardo Rodríguez Jorge, Joaquín Pérez, Nelva Almanza, M. A. Jiménez, A. Azuara:
Identifying stable objects for accelerating the classification phase of k-means. 3PGCIC 2016: 903-912 - 2015
- [j2]Adriana Mexicano-Santoyo, Joaquín Pérez Ortega, Gerardo Reyes Salgado, Nelva Nely Almanza Ortega:
Characterization of Difficult Bin Packing Problem Instances oriented to Improve Metaheuristic Algorithms. Computación y Sistemas 19(2) (2015) - [j1]Joaquín Pérez Ortega, Emmanuel Iturbide, Víctor Olivares, Miguel Angel Hidalgo, Alicia Martínez Rebollar, Nelva Almanza:
A Data Preparation Methodology in Data Mining Applied to Mortality Population Databases. J. Medical Syst. 39(11): 152 (2015) - [c1]Joaquín Pérez Ortega, Emmanuel Iturbide, Víctor Olivares, Miguel Angel Hidalgo, Nelva Almanza, Alicia Martínez Rebollar:
A Data Preparation Methodology in Data Mining Applied to Mortality Population Databases. WorldCIST (1) 2015: 1173-1182
Coauthor Index
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