Sérgio Mário Lins Galdino
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View article: A look at the composition of linear transformations in the language of matrices, some types of matrices of order 2 represented geometrically in the R2 plane
A look at the composition of linear transformations in the language of matrices, some types of matrices of order 2 represented geometrically in the R2 plane Open
The purpose of this note is to present compositions of linear transformations in the language of matrices, as well as to present geometric interpretations for some particular cases of order 2 matrices such as reflections around the x and y…
View article: Interval-valued Data Group Average Clustering (IUPGMA)
Interval-valued Data Group Average Clustering (IUPGMA) Open
In this paper, we deal with a particular type of information, namely interval-valued data. We face the problem of clustering data units described by intervals of the real data set (interval data). Currently, clustering methods rely on diss…
View article: Hybrid Clustering: Combining K-Means and Interval valued data-type Hierarchical Clustering
Hybrid Clustering: Combining K-Means and Interval valued data-type Hierarchical Clustering Open
In this paper, we describe a hybrid clustering procedure which is well-suited when we deal with a large data set.It combines the K-Means clustering to handle large data sets, and an Interval valued data-type Hierarchical Clustering (IHCA).…
View article: Image Segmentation Techniques for Healthcare Systems
Image Segmentation Techniques for Healthcare Systems Open
The present special issue of the Journal of Healthcare Engineering collects articles written by researchers scattered around the world who belong to the academic and industrial environments. The papers of this special issue have been selec…
View article: Interval-valued Data Clustering Based on Range Metrics (P)
Interval-valued Data Clustering Based on Range Metrics (P) Open
This paper introduces new approach to Data Clustering on interval-valued data.We introduce the Width of Range Distance (City Block and Euclidean) matrix dissimilarity to process hierarchical clustering using Ward method.Both width of Range…