a) Given the following samples in a 2D Euclidean space, what does principal component (PCA) analysis...
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a) Given the following samples in a 2D Euclidean space, what does principal component (PCA) analysis reveal about the data? Show the principal components graphically. Explain your answer. [10pts] b) Illustrate the first two iterations of k- medoids clustering algorithm? Compare the application of k-means and k- medoids algorithms on this data with respect to their runtime complexities. [10pts] a) Given the following samples in a 2D Euclidean space, what does principal component (PCA) analysis reveal about the data? Show the principal components graphically. Explain your answer. [10pts] b) Illustrate the first two iterations of k- medoids clustering algorithm? Compare the application of k-means and k- medoids algorithms on this data with respect to their runtime complexities. [10pts]
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a Principal Component Analysis PCA is a statistical method used to reduce the dimensionality of data while preserving its variance as much as possible ... View the full answer
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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