Use all variables to calculate the Euclidean distance between Hamilton and Northwestern university. Normalise the data and
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Question:
- Use all variables to calculate the Euclidean distance between Hamilton and Northwestern university.
- Normalise the data and calculate the Euclidean distance of Hamilton and Northwestern university using normalised data. What is the distance?
- Create a distance matrix and use single linkage method for clustering universities. What are the two universities in the first cluster (closest pair)?
- Which university is the last to join the cluster of all others? University data below includes five variables reporting measures used for college rankings.
School | Median SAT | Acceptance Rate | Expenditures/Student | Top 10% HS | Graduation % |
Hamilton | 1140 | 24 | 27487 | 78 | 88 |
Duke | 1195 | 60 | 21853 | 71 | 77 |
Haverford | 1300 | 45 | 38937 | 74 | 73 |
Johns Hopkins | 1255 | 56 | 37936 | 52 | 73 |
Middlebury | 1280 | 41 | 30882 | 87 | 86 |
MIT | 1218 | 37 | 21352 | 77 | 88 |
Mount Holyoke | 1142 | 43 | 26859 | 96 | 61 |
Northwestern | 1109 | 32 | 22918 | 82 | 73 |
Related Book For
Business Analytics Communicating With Numbers
ISBN: 9781260785005
1st Edition
Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen
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