The data | Question 1. Which method produces the most stable clusters? | Question 2. How do the clusters read in depth and magnitude? | Question 3. Where are the shallowest earthquakes? The deepest? | Question 4. How many clusters are there really? | Question 5. Which methods give the most relevant clusters?

The data | Question 1. Which method predicts best? | Question 2. How do the two best differ, in false positives and false negatives?

The data | Question 1. Selecting for the species | Question 2. Selecting for the sex | Question 3. Which variables, in the end?

The data | Question 1. Which single variable predicts best? Was it foreseeable? | Question 2. One variable or two? | Question 3. What do the residuals say? | Question 4. Can the predictions be improved?

The data | Question 1. Raw data, or centred and scaled? | Question 2. How many clusters do the methods see? | Question 3. With three clusters, which method is the most compact? The most stable? | Question 4. Which method comes closest to the three varieties?

The data | Question 1. Which method predicts the two-class problem best? | Question 2. And the three-class problem? | Question 3. Is the three-class problem harder than the two-class one? | Question 4. Which classes are hardest to separate? | Going further: are non-linear methods worth it?

The data | Question 1. How many factorial axes are needed? | Question 2. How should the first two axes be read? | Question 3. What can be said about the two groups of tumours?

The data | Question 1. Should the data be centred and scaled? | Question 2. What does each view of the data show?