separate its savers into groups 不是分类标签么？ 为什么是unsupervised?

问题如下：

What type of machine-learning algorithm could

a. An analyst use to predict the value of a house price index in five years’ time?

b. A bank use to separate its savers into groups given information on their age, gender, and income?

选项：

解释：

a. Because there is an output variable (target) here, the house price value, this is an example of a supervised learning problem, and the requirement is to produce a prediction rather than a classification.

b. In this case, there is no label, so it is an unsupervised clustering problem and K-means would be a relevant technique to consider.