| dc.contributor.author | Turner, Skylar | |
| dc.contributor.author | Price, Joseph A., III | |
| dc.date.accessioned | 2020-04-14T16:12:37Z | |
| dc.date.available | 2020-04-14T16:12:37Z | |
| dc.date.issued | 2019-02-22 | |
| dc.identifier | ouhd_turner_binaryindicesat_2019 | |
| dc.identifier.citation | Turner, S., & Price, J. A., III (2019, Feb. 22). Binary indices at various densities. Poster presented on Research Day at the Oklahoma State University Center for Health Sciences, Tulsa, OK. | |
| dc.identifier.uri | https://hdl.handle.net/11244/323870 | |
| dc.description.abstract | Binary similarity indices are numerical analysis methods used to compare data involving two binary vectors (lists). The scope of this project involved comparing 54 binary similarity indices methods in relationship to binary vector density using the R programming language. Matrices were created of various vector data. The matrices were then scrambled to represent random data. Finally, the data was analyzed and plotted. Vector density variation can result in large differences - in both rate of change relative to density and magnitude. Awareness of these differences is important when selecting an analysis method and understanding the effects of changing vector density on analysis of results. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University Center for Health Sciences | |
| dc.rights | The author(s) retain the copyright or have the right to deposit the item giving the Oklahoma State University Library a limited, non-exclusive right to share this material in its institutional repository. Contact Digital Resources and Discovery Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Binary indices at various densities | |
| osu.filename | ouhd_turner_binaryindicesat_2019.pdf | |
| dc.type.genre | Presentation | |
| dc.type.material | Text | |
