Customer Segmentation With Machine Learning for Online Retail Industry

Table 1: Overall algorithm ranking

Algorithm	Average Score	Average Score by normalized values
Two-step	0.76	0.66
K-means	0.74	0.63
Positive approach	0.71	0.59
Ward’s method	0.70	0.56
Kahonen	0.70	0.56
Furthest neighbor	0.66	0.51
Within-group linkage	0.65	0.49
Centroid	0.62	0.45
Between-groups linkage	0.57	0.38
Median	0.56	0.36
Nearest neighbor	0.42	0.16

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