Consider the following data set with 5 variables (x1...x5) and 5 observations. a. Normalize each variable using min-max normalization between 0 and 1. b. Perform k-means clustering with the normalized data using 2 clusters assuming the initial cluster assignments given in the last column (C). Perform hierarchical clustering, construct a dendogram. C. x1 0.88 1.1 0.88 0.92 1.16 x2 92 95 99 300 112 x3 x4 580 132 517 564 376 134 1468 28 562 139 x5 155 206 80 455 198 C 2 2 1 1 2

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1. Consider the following data set with 5 variables (x1...x5) and 5 observations.
a. Normalize each variable using min-max normalization between 0 and 1.
b. Perform k-means clustering with the normalized data using 2 clusters assuming the initial cluster
assignments given in the last column (C).
C. Perform hierarchical clustering, construct a dendogram.
x1
0.88
1.1
95
0.88 99
0.92 300
1.16 112
x2
92
x3
580
517
376
1468 28
562
139
x4
132
564
134
x5
155
206
80
455
198
C
2
2
1
1
2
Transcribed Image Text:1. Consider the following data set with 5 variables (x1...x5) and 5 observations. a. Normalize each variable using min-max normalization between 0 and 1. b. Perform k-means clustering with the normalized data using 2 clusters assuming the initial cluster assignments given in the last column (C). C. Perform hierarchical clustering, construct a dendogram. x1 0.88 1.1 95 0.88 99 0.92 300 1.16 112 x2 92 x3 580 517 376 1468 28 562 139 x4 132 564 134 x5 155 206 80 455 198 C 2 2 1 1 2
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