/K-Means-Project

K Means Clustering Project Using KMeans Clustering to cluster Universities into to two groups: Private and Public. The Data Data frame has 777 observations on the following 18 variables. Private A factor with levels No and Yes indicating private or public university Apps Number of applications received Accept Number of applications accepted Enroll Number of new students enrolled Top10perc Pct. new students from top 10% of H.S. class Top25perc Pct. new students from top 25% of H.S. class F.Undergrad Number of fulltime undergraduates P.Undergrad Number of parttime undergraduates Outstate Out-of-state tuition Room.Board Room and board costs Books Estimated book costs Personal Estimated personal spending PhD Pct. of faculty with Ph.D.’s Terminal Pct. of faculty with terminal degree S.F.Ratio Student/faculty ratio perc.alumni Pct. alumni who donate Expend Instructional expenditure per student Grad.Rate Graduation rate

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