Environmental measurements generate great volumes of high-dimensional data (often noisy
and with missing values) from which meaningful messages may be extracted through …

Purpose–This study aims to examine and visualize the adopted internal control structure
and effectiveness in firms and present a typology of firms. Control structure and effectiveness …

Self-Organizing Maps have a wide range of beneficial properties for data mining, like vector
quantization and projection. Several measures exist that quantify the quality of either of …

The aim of this paper is to introduce modern mapping techniques to the finance community.
Mapping techniques provide means for representing high-dimensional data on low …

As a special class of artificial neural networks the Self Organizing Map is used extensively
as a clustering and visualization technique in exploratory data analysis. This chapter …

The two-dimensional (2D) Self-Organizing Map (SOM) has a well-known “border effect”.
Several spherical SOMs which use lattices of the tessellated icosahedron have been …

Cellular manufacturing (CM) is an approach that includes both flexibility of job shops and
high production rate of flow lines. Although CM provides many benefits in reducing …

Topology preserving mappings are great tools for data visualization and inspection in large
datasets. This research presents a study of the combination of different ensemble training …

This study presents a novel version of the Visualization Induced Self-Organizing Map based
on the application of a new fusion algorithm for summarizing the results of an ensemble of …

This paper deals with collision and hazard detection for motorcycles via inertial
measurements. For this kind of vehicles, the most difficult challenge is to distinguish road's …