Kernel KMeans clustering splits for end-to-end unsupervised decision trees
Trees are convenient models for obtaining explainable predictions on relatively small
datasets. Although there are many proposals for the end-to-end construction of such trees in …
datasets. Although there are many proposals for the end-to-end construction of such trees in …
Generalised grey target decision method based on the Gini–Simpson index involving mixed attributes and uncertain numbers
J Ma - Data Technologies and Applications, 2019 - emerald.com
Purpose The purpose of this paper is to investigate a novel generalised grey target decision
method (GGTDM) with index and weight involving mixed attribute values …
method (GGTDM) with index and weight involving mixed attribute values …
On the weighted Gini–Simpson index: estimating feasible weights using the optimal point and discussing a link with possibility theory
JP Casquilho - Soft Computing, 2020 - Springer
Following a brief historic note on the foundations and some applications of the Gini–
Simpson index and its weighted versions, it focuses on the inversion problem relative to the …
Simpson index and its weighted versions, it focuses on the inversion problem relative to the …
On the Optimal Point of the Weighted Simpson Index
JP Casquilho, H Mena-Matos - Mathematics, 2024 - mdpi.com
In this short communication, following a brief introduction, we undertake a comprehensive
analytical study of the weighted Simpson index. Our primary emphasis concerns the precise …
analytical study of the weighted Simpson index. Our primary emphasis concerns the precise …
[PDF][PDF] On the semiotic convolution of Simpson index: from cryptanalysis to measuring diversity
JP Casquilho - researchgate.net
Semiotics deals with signification processes or semiosis, mediated by signs; the disposition
of signs is syntactic, while the meaning associated is semantic and the application (s) or …
of signs is syntactic, while the meaning associated is semantic and the application (s) or …