Single-dimensional grouping is easy to understand. For ws number list example, we can divide customers into teenagers, youth, middle-aged, middle-aged and elderly, and the elderly based on the information of age. There are no strict and fixed requirements ws number list for the threshold,
But generally minors under the age of 18 are Special groups, the elderly over the age of 65 are generally excluded from the mutual gold field. This kind of ws number list continuous variable can be divided into categorical variables according to a certain meaning and used for grouping. There is also a class of discrete variables such as gender, education, and ws number list even city level, which are themselves
Very suitable as clustering variables. By focusing on ws number list these groups, we can deeply understand the customer group structure of the business, which can help us make macro-decisions. Single-dimensional grouping is mainly determined based on experience.
