Q1 Textbook Exercises – http://faculty.marshall.usc.edu/gare

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Q1 Textbook Exercises – http://faculty.marshall.usc.edu/gareth-james/ISL/Chapter 10 – Unsupervised LearningLab 1: Principal Component AnalysisLab 2: K-Means ClusteringLab 2: Hierarchical ClusteringLab 3: NCI60 Data ExampleQ2 Text Exercises – Applied8. In Section 10.2.3, a formula for calculating PVE was given in Equation 10.8On the USArrests data, calculate PVE in two ways:(a) redo as was done in Section 10.2.3.(b) By applying Equation 10.8 directly. Then, use those loadings in Equation 10.8 to obtain the PVE. These two approaches should give the same results.https://botlnec.github.io/islp/sols/chapter10/exercise8/Q3 Applied K-Means Clustering to the IRIS Datasethttps://www.kaggle.com/tonzowonzo/simple-k-means-clustering-on-the-iris-dataset Q4 Apply K-Means Clustering to the World Happiness Report 2017https://www.kaggle.com/unsdsn/world-happiness#2017.csvNCI60_y.csvNCI60_X.csv2017.csvUSArrests.csvHW Clustering Methods.docxcreds to access files :xgaddam13735@ucumberlands.eduStranger$4711

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