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The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps
(IEEE, 2008-01-01)
This paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a ...
The Meaningful Fractal Fuzzy Dimension Applied to the Design of Self Organizing Maps
(IEEE, 2008-01-01)
This paper presents the principal results of a detailed study about the use of the Meaningful Fractal Fuzzy Dimension measure in the problem in determining adequately the topological dimension of output space of a ...
Semiautomated geologic mapping using self-organizing maps and airborne geophysics in the Brazilian Amazon
(Soc Exploration GeophysicistsTulsaEUA, 2012)
A GH-SOM optimization with SOM labelling and dunn index
(Scopus, 2011)
Clustering is an unsupervised classification method that divides a data set in groups, where the elements of a group have similar characteristics to each other. A well-known clustering method is the Growing Hierarchical ...
Métodos de agrupamento na análise de dados de expressão gênica
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2009-02-16)
The clustering techniques have frequently been used in literature to the analyse data in several fields of application. The main objective of this work is to study such techniques. There is a large number of clustering ...
A fast approach for unsupervised karst feature identification using GPU
(2018-10-01)
Among the geological features, karst is the one that has received special attention in oil and gas exploration for being a strong indicator of the potential existence of hydrocarbon reservoirs. The integration of automatic ...
Application of Mixture Design and Kohonen Neural Network for Determination of Macro- and Microelement in Mullet (Mugil cephalus) by MIP OES
(Springer, 2021-01-19)
In this study, the concentrations of macro- and microelement in different tissues (liver, gill, and muscle) of fish collected (Mugil cephalus) in Pontal Bay (Ilheus, Bahia) were determined. A simplex-centroid mixture design ...
An Apriori-Based Learning Scheme towards Intelligent Mining of Association Rules for Geological Big Data
(TSI, 2020)
The past decade has witnessed the rapid advancements of geological data analysis techniques, which facilitates the development of modern agricultural systems. However, there remains some technical challenges that should ...