TY - GEN
T1 - Improved Technique for Dimensionality Reduction
T2 - Intelligent Systems Conference, IntelliSys 2023
AU - Martínez-Mejía, Mateo
AU - Ibarra-Fiallo, Julio
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - This work compares the feature selection technique offered by Testor Theory, using the Yablonski and Compatible Sets (YYC) algorithm for the calculation of a fitting typical testor, against the dimensionality reduction given by the principal component analysis (PCA) calculation. Using the results obtained from the previous algorithms and using a Support Vector Machine (SVM) as a classification model, we acquire the classification results of stars and quasars. Lastly, we analyze the advantages shown by typical testors from the experimental results obtained over the ones obtained from the PCA technique.
AB - This work compares the feature selection technique offered by Testor Theory, using the Yablonski and Compatible Sets (YYC) algorithm for the calculation of a fitting typical testor, against the dimensionality reduction given by the principal component analysis (PCA) calculation. Using the results obtained from the previous algorithms and using a Support Vector Machine (SVM) as a classification model, we acquire the classification results of stars and quasars. Lastly, we analyze the advantages shown by typical testors from the experimental results obtained over the ones obtained from the PCA technique.
KW - Classification Model
KW - Dimensionality Reduction
KW - Testor Theory
KW - Typical Testor
UR - http://www.scopus.com/inward/record.url?scp=85192171213&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-47724-9_19
DO - 10.1007/978-3-031-47724-9_19
M3 - Contribución a la conferencia
AN - SCOPUS:85192171213
SN - 9783031477232
T3 - Lecture Notes in Networks and Systems
SP - 275
EP - 290
BT - Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference IntelliSys Volume 2
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 7 September 2023 through 8 September 2023
ER -