SOLORIO FERNANDEZ, SAUL
INGENIERÍA · Nivel C
Data Mining
Pattern Recognition
Feature Selection
Unsupervised Feature Selection
| Nombre | SAUL SOLORIO FERNANDEZ |
|---|---|
| Área | INGENIERÍAS Y DESARROLLO TECNOLÓGICO |
| Campo | INGENIERÍA |
| Disciplina | TECNOLOGÍA E INGENIERÍA MECÁNICAS |
| Especialidad | CLUSTERING |
| CVU | 207054 |
| Institución | |
|---|---|
| Dependencia | FACULTAD DE MATEMATICAS |
| Entidad | GUERRERO |
| Nivel | C |
| Vigencia | Inicio: 01/01/2022 |
| Fin: 31/12/2027 |
Últimas publicaciones Scopus
- 2024
- Filter unsupervised spectral feature selection method for mixed data based on a new feature correlation measure Neurocomputing · Vol. 571 Article
- 2022
- A survey on feature selection methods for mixed data Artificial Intelligence Review · Vol. 55 Article
- 2021
- Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · Vol. 12725 LNCS Conference Paper
- 2020
- A systematic evaluation of filter Unsupervised Feature Selection methods Expert Systems with Applications · Vol. 162 Article
- A Supervised Filter Feature Selection method for mixed data based on Spectral Feature Selection and Information-theory redundancy analysis Pattern Recognition Letters · Vol. 138 Article