Unsupervised Learning

The main idea of these agarithms is we're going to replace whatever weird borders the tames clustering augarithm came up with. We are going to replace it with borders that come from a decision tree, nary decisionry. So basically, we are asking yes or no questions to the data,. The idea is that, let's say that you have five variables, and somehow you came up with ten clusters. And what we are trying to do is to replicate these ten clusters as best as we can by asking each variable or yes or no question. With these questions, we are able to explain the cluster, right? That's the main idea that even someone who