CONTROLLED CONDENSATION IN K-NN AND ITS APPLICATION FOR REAL TIME COLOR IDENTIFICATION

Autor: Carmen Villar Patiño, Carlos Cuevas Covarrubias

Publikováno v: Revista de Matemática: Teoría y Aplicaciones, Vol 23, Iss 1, Pp 143-154 (2017)

k-NN algorithms are frequently used in statistical classification. They are accurate and distribution free. Despite these advantages, k-NN algorithms imply a high computational cost. To find efficient ways to implement them is an important challenge

Externí odkaz: https://doaj.org/article/13167d0173674590a459ce2675773a1f

Principal Component Analysis of Male Criminal Behavior

Autor: Patricia Hernández-Valdez, Patricia Martínez-Lanz, Carlos Cuevas-Covarrubias

Publikováno v: Health. 13:1112-1128

The present study was conducted in order to establish factors that can potentially facilitate crime, as well as the status of the emotional wellbeing presented in the prison population. The sample was composed of 358 inmates of the Federal Center for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::784499c6eeabe9a1adf092bf19c553a3
https://doi.org/10.4236/health.2021.1310083

Clasificación estadística dinámica

Autor: Javier Pulido Cejudo, Carlos Cuevas Covarrubias

Publikováno v: Revista de Matemática Teoría y Aplicaciones, Volume: 24, Issue: 1, Pages: 115-127, Published: JUN 2017
Revista de Matemática: Teoría y Aplicaciones, Vol 24, Iss 1, Pp 115-127 (2017)
Revista de Matemática: Teoría y Aplicaciones; Vol. 24 No. 1 (2017): Revista de Matemática: Teoría y Aplicaciones; 115-127
Revista de Matemática: Teoría y Aplicaciones; Vol. 24 Núm. 1 (2017): Revista de Matemática: Teoría y Aplicaciones; 115-127
Revista de Matemática; Vol. 24 N.º 1 (2017): Revista de Matemática: Teoría y Aplicaciones; 115-127
Portal de Revistas UCR
Universidad de Costa Rica
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We consider the statistical supervised classification problem from a dynamical systems approach. We assume that two classes exist and that, for each one, a multivariate normal distribution determines the probability to be in a certain region in the n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c1c78d6aa0255c4bf24c55c01e706f8
http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332017000100115&lng=en&tlng=en

Interactive Principal Components Analysis: A New Technological Resource in the Classroom

Autor: Carmen Villar-Patiño, Carlos Cuevas-Covarrubias, Miguel Angel Mendez-Mendez

Publikováno v: Algorithms from and for Nature and Life ISBN: 9783319000343
Algorithms from and for Nature and Life

Principal Components Analysis (PCA) is a mathematical technique widely used in multivariate statistics and pattern recognition. From a statistical point of view, PCA is an optimal linear transformation that eliminates the covariance structure of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::70b2baf719c856948cb825b41b4f694a
https://doi.org/10.1007/978-3-319-00035-0_18

Advanced Studies in Classification and Data Science

Autor: Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi

This edited volume focuses on the latest developments in classification and data science and covers a wide range of topics in the context of data analysis and related areas, e.g. the analysis of complex data, analysis of qualitative data, methods for