Using Clear M L for Machine Learning

The clustering is a technique to find some relations or similarity between types of people or types of customers. And after analyzing thes time series, we have some features. After using some of them, actually combining the features, i found that the final result is significantly better than the individuals. For example, there is no significant difference between camins or camedias. Do you know why? Because if you have enough information about your customers, o you can cluster them. But if you don't pick up some proper features, you are not able to cluster them.