Cargando…
Unsupervised learning algorithms
This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among...
Autores principales: | Celebi, M, Aydin, Kemal |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2016
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-24211-8 http://cds.cern.ch/record/2151682 |
Ejemplares similares
-
Partitional clustering algorithms
por: Celebi, M
Publicado: (2015) -
Dimensionality reduction with unsupervised nearest neighbors
por: Kramer, Oliver
Publicado: (2013) -
An Adaptive Homeostatic Algorithm for the Unsupervised Learning of Visual Features
por: Perrinet, Laurent U.
Publicado: (2019) -
Recreation of the periodic table with an unsupervised machine learning algorithm
por: Kusaba, Minoru, et al.
Publicado: (2021) -
Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
por: Kaltiokallio, Ossi, et al.
Publicado: (2021)