Bojan Žlahtič
Biographic Data
| ID | 10032474 |
|---|---|
| NAME | Bojan Žlahtič |
| GIVEN NAMES | Bojan |
| FAMILY NAME | Žlahtič |
| SIGNATURE | ŽLAHTIČ B |
| AFFILIATIONS | University of Maribor |
| ORCID | 0000-0001-9295-7886 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
The role of correspondence analysis in medical research
Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items po…
No prominent works on this page.
The role of correspondence analysis in medical research
Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items po…
Artificial Intelligence (1 work) · Bioinformatics and Genomic Networks (1 work) · Categorical variable (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Contingency table (1 work) · Correspondence analysis (1 work) · Data mining (1 work) · Dimensionality reduction (1 work) · Machine learning (1 work)