@InProceedings{SouzaSantFerr:2019:FeViBa,
author = "Souza, Felipe Carvalho de and Santos, Rafael Duarte Coelho dos and
Ferreira, Karine Reis",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "GGSOM: ferramenta de visualiza{\c{c}}{\~a}o baseada em mapas
auto-organiz{\'a}veis",
booktitle = "Anais... do 20º Simp{\'o}sio Brasileiro de Geoinform{\'a}tica",
year = "2019",
editor = "Lisboa Filho, Jugurta and Monteiro, Antonio Miguel Vieira",
organization = "Simp{\'o}sio Brasileiro de Geoinform{\'a}tica, 20. (GEOINFO)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "geoinformatica.",
abstract = "Analysis of multidimensional and time series data is useful and
pertinent to several different applications, being a challenge due
to the volume and complexity of the data. A possible approach for
analysis of this kind of data is to use clustering algorithms to
reduce the dimensionality of the data. This paper presents a tool
for clustering and visualization of data, called ggsom, which uses
a technique for data dimensionality reduction through projection
of the data in a smaller number of dimensions by the Kohonens
Self-Organizing Map. The tool is evaluated with data from time
series of vegetation coverage from Bahia state.",
conference-location = "S{\~a}o Jos{\'e} dos Campos",
conference-year = "11 -13 nov. 2019",
issn = "2179-4847",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGPDW34R/3UFHMQ8",
url = "http://urlib.net/ibi/8JMKD3MGPDW34R/3UFHMQ8",
targetfile = "310-312.pdf",
urlaccessdate = "21 maio 2024"
}