In this script I will perform segmentation of USA Bank customers.
The original dataset contains 1000 entries with 20 categorical/symbolic attributes. The attributes are: Age (numeric) Sex (text: male, female) Job (numeric: 0- unskilled and non-resident, 1-unskilled and resident, 2-skilled, 3-higly skilled) Housing (text: own, rent, or free) Saving Accounts (text: little, moderate, quite rich, rich) Checking Account (numeric: dollar) Credit Amount (numeric: dollar) Duration (numeric: in month) Purpose (text: car, furniture/equipment, radio/tv, domestic appliance, repairs, education, business, vacation/others).