A clustering algorithm for university admissions
| dc.contributor.advisor | Tapia, Richard A. | en_US |
| dc.creator | Reed, Naomi Beth | en_US |
| dc.date.accessioned | 2009-06-03T21:09:09Z | en_US |
| dc.date.available | 2009-06-03T21:09:09Z | en_US |
| dc.date.issued | 2007 | en_US |
| dc.description.abstract | In 2003 The Supreme Court declared that all government funded universities, which choose to consider race in their admissions processes, must utilize a holistic process. A holistic process includes a thorough evaluation of all aspects of each applicant. For larger universities this type of admissions process would be very taxing. A computer scientist from Auburn University created an algorithm, Applications Quest, to handle large quantities of applications in a way that would evaluate applicants holistically with a computational tool. Applications Quest utilizes the Euclidean distance measure, Similarity matrices, Divisive Clustering, and Random Selection. This algorithm produces a diverse admittance class for a university. In this research we simulate this algorithm and run tests with hypothetical Rice University data. Ultimately, we are left with the following question: Can a computational use of arbitrary difference account for human qualities that define certain social phenomena, such as underrepresentation in higher education? | en_US |
| dc.format.extent | 46 p. | en_US |
| dc.format.mimetype | application/pdf | en_US |
| dc.identifier.callno | THESIS MATH.SCI. 2007 REED | en_US |
| dc.identifier.citation | Reed, Naomi Beth. "A clustering algorithm for university admissions." (2007) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/20531">https://hdl.handle.net/1911/20531</a>. | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20531 | en_US |
| dc.language.iso | eng | en_US |
| dc.rights | Copyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder. | en_US |
| dc.subject | Mathematics | en_US |
| dc.title | A clustering algorithm for university admissions | en_US |
| dc.type | Thesis | en_US |
| dc.type.material | Text | en_US |
| thesis.degree.department | Mathematical Sciences | en_US |
| thesis.degree.discipline | Engineering | en_US |
| thesis.degree.grantor | Rice University | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | Master of Arts | en_US |
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