| Full text | |
| Author(s): |
Gewers, Felipe L.
[1]
;
Ferreira, Gustavo R.
[2]
;
De Arruda, Henrique F.
[3, 4]
;
Silva, Filipi N.
[5, 6, 7]
;
Comin, Cesar H.
[8]
;
Amancio, Diego R.
[9]
;
Costa, Luciano Da F.
[4]
Total Authors: 7
|
| Affiliation: | [1] Univ Sao Paulo, Inst Phys, Sao Paulo Vila Univ, 187 Rua Matto, BR-05508090 Sao Paulo, SP - Brazil
[2] Univ Sao Paulo, Inst Math & Stat, Sao Paulo Vila Univ, 1010 Rua Matao, BR-05508090 Sao Paulo, SP - Brazil
[3] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
[4] Univ Sao Paulo, Sao Carlos Inst Phys, FCM, 400 Trabalhador Sao Carlense Ave, BR-13566590 Sao Carlos, SP - Brazil
[5] Univ Sao Paulo, Sao Carlos Inst Phys, Sao Carlos, SP - Brazil
[6] Indiana Univ, Sch Informat Comp & Engn, Bloomington, IL 47405 - USA
[7] Indiana Univ, Network Sci Inst, 1001 IN 45, Bloomington, IN 47408 - USA
[8] Univ Fed Sao Carlos, Dept Comp Sci, 235 Washington Luiz Ave, BR-13565905 Sao Carlos, SP - Brazil
[9] Univ Sao Paulo, Inst Math & Comp Sci, 400 Trabalhador Sao Carlense Ave, BR-13566590 Sao Paulo, SP - Brazil
Total Affiliations: 9
|
| Document type: | Journal article |
| Source: | ACM COMPUTING SURVEYS; v. 54, n. 4 JUL 2021. |
| Web of Science Citations: | 1 |
| Abstract | |
Principal component analysis (PCA) is often applied for analyzing data in the most diverse areas. This work reports, in an accessible and integrated manner, several theoretical and practical aspects of PCA. The basic principles underlying PCA, data standardization, possible visualizations of the PCA results, and outlier detection are subsequently addressed. Next, the potential of using PCA for dimensionality reduction is illustrated on several real-world datasets. Finally, we summarize PCA-related approaches and other dimensionality reduction techniques. All in all, the objective of this work is to assist researchers from the most diverse areas in using and interpreting PCA. (AU) | |
| FAPESP's process: | 17/13464-6 - Modelling citation and information graphs: a complex network approach |
| Grantee: | Diego Raphael Amancio |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 18/09125-4 - Representation, characterization and modeling of biological images using complex networks |
| Grantee: | Cesar Henrique Comin |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 15/22308-2 - Intermediate representations in Computational Science for knowledge discovery |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 16/19069-9 - Using semantical information to classify texts modelled as complex networks |
| Grantee: | Diego Raphael Amancio |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 18/10489-0 - Transformations of complex networks and their implication in topology and dynamics of complex systems |
| Grantee: | Henrique Ferraz de Arruda |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 11/50761-2 - Models and methods of e-Science for life and agricultural sciences |
| Grantee: | Roberto Marcondes Cesar Junior |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/16223-5 - Analysis of Opinion Dynamics in Terms of Structure and Dynamics of Complex Networks |
| Grantee: | Henrique Ferraz de Arruda |
| Support Opportunities: | Scholarships abroad - Research Internship - Post-doctor |