Abstract:
Data that are multivariate in nature is a type of data that may contain subtle patterns.
However, it is considered to be an obstacle in research most of the time since classical
statistics may nd it encumbering to analyze. However, computational statistics, a collab-
oration between computer science and statistics, o ers a suite of algorithms that may be
used to surpass obstacles such as this. The Self-Organizing Map and Data Visualization are
examples of these. The Self-Organizing Map is an arti cial neural network that employs a
process to reduce multidimensional data into a low-dimensional representation while Data
Visualization is a process that aims to give the human brain a visual representation of
knowledge about certain data. SOM Visualize is a software that makes use of both pro-
cesses. The tool enables users to input data and visualize several patterns such as clusters,
associations, as well as a geographical representation that exist in the data. It may give
several hypotheses that may be con rmed through other statistical tests and SOM Visualize
has therefore enabled the possibility of analysis of multivariate data.
