In this paper we address the problem of multivariate outlier detection using the
(unsupervised) self-organizing map (SOM) algorithm introduced by Kohonen. We examine a …

We propose four methods for finding local subspaces in large spectral libraries. The
proposed four methods include (a) cosine angle spectral matching;(b) hit quality index …

The adaptative classification of the rays received from a constellation of geodetic satellites
(the Global Positioning System (GPS)) by a set of ground receivers is performed using …

An interpretation phase is proposed, to complement usage of the Kohonen self-organizing
feature map (SOFM) method. This segments the SOFM output, using an agglomerative …

Tutoring programs are effective in reducing school failures among at-risk students. However,
there is still room for improvement in maximising the social returns they provide on …

Kohonen's self-organizing map (SOM) network is one of the most important network
architectures developed during the 1980s. The main function of SOM networks is to map the …

The increasing attention on deep learning has tremendously spurred the design of
intelligence processing hardware. The variety of emerging intelligence processors requires …

This study analyses the connection between extreme rainfall events in Jeddah, Saudi
Arabia, and synoptic‐scale weather patterns over the Arabian Peninsula. Mean rainfall …

The main goal of this study is a comparison of two different methods of pattern recognition.
The first, Principal Component Analysis (PCA), is a method frequently used in climatology …

The interest in multitask and deep learning strategies has been increasing in the last few
years, in application to large and complex dataset for quantitative structure‐activity …