We propose a robust and understandable algorithm for supervised variable selection. The
user defines a problem by manually selecting the variables Y that are used to train a Self …

A spherical self-organizing map (SSOM) based on an icosahedral geodesic dome
(ICOSOM) improves the ability to visualize interactions among clusters from the input space …

This thesis concerns the analysis of multivariate data. The amount of data that is obtained
from various sources and stored in digital media is growing at an exponential rate. The data …

This paper explores the use of self-organizing maps (SOM) for exploratory data analysis of
breast cancer data. We were able to visualize the data with the SOM in a way that makes it …

This study presents a factorial experiment to investigate the ensemble of Kohonen Self‐
Organizing Maps. Clusters Validity Indexes and the Mean Square Quantization Error were …

Our research group is studying data-analysis based techniques in decision support and
visualization. We have had co-operation with a Finnish nuclear power plant Olkiluoto within …

Self-organizing maps (SOMs) represent a well-known neural network technique particularly
suited to classification tasks. Here, it is adopted to monitor the lubricating conditions within …

RESUMO O desenvolvimento profissional, aliado ao das organizações e a pressão para
atingir metas cada vez mais audaciosas, deixam os empregados sobrecarregados. Estes …

The goal of this paper is to detect internal leakages created by seal faults and also identify
which seal is damaged from water hydraulic proportional valve using vibration and pressure …

A marked feature of recent developments in the networked society has been the growth in
the number of people making use of Internet dating services. These services involve the …