Results 31 to 40 of about 7,151,068 (329)
Smoothed self-organizing map for robust clustering
In this paper a Self-Organizing Map (SOM) robust to the presence of outliers, the Smoothed SOM (S-SOM), is proposed. S-SOM improves the properties of input density mapping, vector quantization, and clustering of the standard SOM in the presence of ...
P. D'Urso +2 more
semanticscholar +1 more source
Los mapas auto-organizados o redes de Kohonen (SOM por sus siglas en inglés, self-organizing map) fueron introducidos por el profesor finlandés Teuvo Kalevi Kohonen en los años 80. Un mapa auto-organizado es una herramienta que analiza datos en muchas dimensiones con relaciones complejas entre ellos y los reduce o representa en, usualmente, una, dos o ...
openaire +2 more sources
Self-organizing maps are data mining tools for unsupervised learning algorithms dealing with big data problems. The authors experimentally demonstrate a memristor-based self-organizing map that is more efficient in computing speed and energy consumption ...
Rui Wang +8 more
doaj +1 more source
Health Detection of Betal Leaves Using Self-Organizing Map and Thresholding Algorithm
Betel leaf is one of the plants that is widely used as a natural or traditional medicine by the community, natural treatment with the use of plants is relatively safer.
Dadang Iskandar Mulyana` +2 more
doaj +1 more source
CLUSTERING TRAFO DISTRIBUSI MENGGUNAKAN ALGORITMA SELF-ORGANIZING MAP
Salah satu cara untuk mengetahui beban sebuah trafo distribusi PLN masih memenuhi batas normal atau overload adalah dengan melakukan pengukuran beban trafo tersebut.
Tutik Khotimah +2 more
doaj +1 more source
Boiling Flow Pattern Identification Using a Self-Organizing Map
In the paper, a self-organizing map combined with the recurrence quantification analysis was used to identify flow boiling patterns in a circular horizontal minichannel with an inner diameter of 1 mm. The dynamics of the pressure drop during density-wave
Iwona Zaborowska +2 more
doaj +1 more source
Combining the Kohonen Self-Organizing Map and K-Means for On-Line Classification of Sensordata [PDF]
Many devices, like mobile phones, use contextual profiles like in the car or in a meeting to quickly switch between behaviors. Achieving automatic context detection, usually by analysis of small hardware sensors, is a fundamental problem in human ...
Van Laerhoven, Kristof
core +3 more sources
Deep Self-Organizing Map of Convolutional Layers for Clustering and Visualizing Image Data
The self-organizing convolutional map (SOCOM) hybridizes convolutional neural networks, self-organizing maps, and gradient backpropagation optimization into a novel integrated unsupervised deep learning model. SOCOM structurally combines, architecturally
Christos Ferles +3 more
doaj +1 more source
Modifications of the Self-Organizing Map Program Package to enable large input data vectors
This document outlines changes in the Self-Organizing Map Program Package (SOM_PAK; Kohonen et al. 1996) designed to allow for large input data vectors. This change facilitates the production of time-evolving SOMs (Gu and Gervais, 2022) where input data ...
Melissa Gervais, Qinxue Gu
core +1 more source
Computational intelligence for studies on genetic diversity between genotypes of biomass sorghum [PDF]
: The objective of this work was to evaluate the potential of computational intelligence and canonical variables for studies on the genetic diversity between biomass sorghum (Sorghum bicolor) genotypes.
Michele Jorge da Silva +6 more
doaj +1 more source

