Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Carmen Villar-Patiño"'
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
Publikováno v:
IFMBE Proceedings ISBN: 9783030306472
Cervical cancer is still a significant cause of death, especially in developing countries. The detection and correct treatment of the disease is vital in its early stages. One of the key factors in selecting appropriate treatment is the identificatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5365e36044b0ea5c6f9153eb6fdd7b7
https://doi.org/10.1007/978-3-030-30648-9_49
https://doi.org/10.1007/978-3-030-30648-9_49
Publikováno v:
Revista de Matemática Teoría y Aplicaciones, Volume: 23, Issue: 1, Pages: 143-154, Published: JUN 2016
ResumenLos algoritmos de vecinos cercanos (k-NN) son métodos ampliamente empleados en la clasificación estadística. Los cuales destacan por ser precisos y por no depender de ningún supuesto distribucional. A pesar de estas ventajas tienen el inco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::532c31a7892dfbda1e84758fb60e4aa6
http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332016000100143&lng=en&tlng=en
http://www.scielo.sa.cr/scielo.php?script=sci_arttext&pid=S1409-24332016000100143&lng=en&tlng=en
Publikováno v:
Algorithms from and for Nature and Life ISBN: 9783319000343
Algorithms from and for Nature and Life
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
https://doi.org/10.1007/978-3-319-00035-0_18