One-Layer vs. Two-Layer SOM in the Context of Outlier Identification: A Simulation Study

One-Layer vs. Two-Layer SOM in the Context of Outlier Identification: A Simulation Study

In this work, we applied a stochastic simulation methodology to quantify the power of the detection of outlying mixture components of a stochastic model, when applying a reduced-dimension clustering technique such as Self-Organizing Maps (SOMs). The essential feature of SOMs, besides dimensional red...

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Bibliographic Details
Main Authors: Gabriel Antonio Valverde Castilla, José Manuel Mira McWilliams, Beatriz González-Pérez
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
self-organizing map
neural networks
robustness
nonlinear projections
dimensionality reduction
deep semisupervised learning
Online Access:https://www.mdpi.com/2076-3417/11/14/6241

Internet

https://www.mdpi.com/2076-3417/11/14/6241

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