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Data Classification: Dimensionality Reduction Using Combined and Non-Combined Multidimensional Projection Techniques

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Author(s):
de Paula Rodrigues, Gustavo Eloi ; Marcilio Junior, Wilson Estecio ; Eler, Danilo Medeiros ; IEEE
Total Authors: 4
Document type: Journal article
Source: 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS); v. N/A, p. 6-pg., 2018-01-01.
Abstract

Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality reduction algorithms. We also used Naive Bayes and SMO as classifiers. (AU)

FAPESP's process: 13/03452-0 - An extensible coordination model for coordinated and multiple views and approaches to aid the visual analysis process
Grantee:Danilo Medeiros Eler
Support Opportunities: Regular Research Grants
FAPESP's process: 16/11707-6 - Employing overlapping removal and representatives identification techniques in visualizations based on multidimensional projection
Grantee:Wilson Estécio Marcílio Júnior
Support Opportunities: Scholarships in Brazil - Master