An Overview of Data Mining Techniques - Data Mining Techniques in CRM: Inside Customer Segmentation - page 42

Table 2.6 The modeling dataset for a clustering model.

Input fields

Customer ID Monthly average Monthly average

number of SMS calls number of voice calls

1 27 144

2 32 44

3 41 30

4 125 21

5 105 23

6 20 121

Figure 2.10 Scatterplot of voice and SMS usage.

rest by having increased SMS usage and low voice usage. They can be grouped
together to form a cluster of ''SMS users.''
Although quite naive, the above example outlines the basic concepts of
clustering. Clustering solutions are based on analyzing similarities among records.
They typically use distance measures that assess the records' similarities and assign