Figure 1.

The general clustering process [It is broken down into four steps. Step 1 corresponds to the identification of the problem and the collection of data. Step 2 is a pre-processing step that includes the different transformations of the data. Step 3 is the clustering of the data itself, while step 4 is the interpretation of the clusters with respect to the original data. The contents of each box (steps) are examples and not sub-steps that must be followed].