Question: Implement K-mean algorithm clustering using clustering.csv, and find best k of this dataset. Implement plot in python code to visualize your prediction. clustering.csv: -0.100383135 -0.529259972

Implement K-mean algorithm clustering using clustering.csv, and find best k of this dataset.

Implement plot in python code to visualize your prediction.

clustering.csv:

-0.100383135 -0.529259972
0.943834084 -0.487631903
-0.633620946 -0.142476713
1.381136177 0.47710418
-0.495535101 -1.291286059
-0.364905517 0.237533302
0.573628419 1.323137741
1.097676127 -0.999953336
-0.361501618 -1.434405432
1.440718697 -0.773766989
-1.149613749 1.070323675
-1.048003877 -0.396799423
-0.724966738 1.256489706
-0.806481175 -1.413844742
-1.157588249 0.735598846
0.969380904 0.061393916
-0.548776791 1.454151791
1.469702843 0.609210838
-0.07628938 -0.609670649
0.782114463 -0.354935801
-0.96402215 -0.495222332
0.511476576 0.003373231
-1.462862394 0.233681398
0.008061796 -0.043953703
-0.505574612 0.494401784
-0.789007325 -0.650603894
0.691062573 0.785948364
-1.263648122 0.415297218
0.338378539 1.21271732
10.40349063 0.206466205
11.39252783 3.192072917
13.10700791 0.575204934
7.316257056 0.335175511
6.572235568 6.272115128
8.625363445 2.98094255
8.395179303 5.163222025
10.82254107 0.579250347
11.0517231 4.626866289
6.644467488 -0.144263075
12.83886469 5.532488469
13.34043805 1.501188554
12.18406118 2.258893665
12.92575911 4.968177372
12.37213437 4.334540592
10.92228588 4.095434343
10.10146247 3.629895242
11.6612154 3.81892274
9.901749449 -0.072166268
12.54688853 1.849960283
12.89104496 5.565977341
8.341446268 1.789012672
8.865073344 4.489862972
6.712144964 6.254164867
9.719137215 1.29431772
9.283149756 3.4604096
13.2566001 6.423388452
7.622605993 1.297641952
11.871364 2.209237007
9.126101489 13.21158608
6.570728498 10.04321136
9.819286006 13.46712867
11.44338685 8.971802967
8.567367664 7.193994787
9.314156106 13.32616609
9.449441009 12.96114636
12.76565545 9.35839179
12.01526446 12.34460168
11.38773441 9.508073366
12.57453966 7.73717329
7.741045439 10.90742046
11.11182941 11.30454987
12.93921526 9.888512677
11.73514859 13.31788878
6.548247998 9.570893789
7.35397588 7.459362192
12.3478524 8.183304732
8.65791102 11.63580017
12.903734 7.51052864
11.7311371 8.783092982
11.6279958 9.352387576
6.977996208 9.916013567
13.18927325 8.250812501
11.19631141 13.01308376
11.42820704 6.942494826
13.06056426 11.10518592
10.91700736 10.57405658
11.11381599 8.366513304
3.15936646 3.304998167
3.174484236 3.176133754
3.323655926 2.901683085
2.521330577 3.396597848
2.648751813 3.254020053
3.385378107 3.347673547
3.37840667 3.232858733
3.067011514 2.785484253
3.02133846 2.72184054
3.204705089 3.366105031
3.06648878 2.624558589
3.088653307 2.764556542
3.455170768 3.136889947
3.155033225 2.82570608
3.322948897 3.179499103
3.367091974 3.388772222
2.560083031 2.564475817
3.368364444 3.468507274
2.865095762 3.382408737
2.970738988 2.582506482
2.729915674 2.665546259
2.985605286 3.494808017
3.355742726 2.664563227
2.56708947 2.826613984
2.778292547 3.483237262
3.006725829 3.189704071
2.562314892 3.102226058
2.829907749 3.487100621
2.954140031

2.851385765

Hint:

http://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html#sphx-glr-auto-examples-cluster-plot-kmeans-assumptions-py

Sample Output:

Implement K-mean algorithm clustering using clustering.csv, and find best k of this

Unequal Variance -2 -6 -8 -12.5 -10.07.5 -5.0 -2.5 . 2.5

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