ClustEval
clustering evaluation framework
Hints:
On the right side you see an explanation and more details regarding the clustering quality measure.
Fowlkes Mallows Index (R)
The Fowlkes-Mallows Index is the geometric mean of precision and recall (see F-Score). This measure is based on the pairwise approach to calculate TP,TN,FP and FN. \[ FM = \sqrt{\frac{TP}{TP+FP} \cdot \frac{TP}{TP+FN}} \] In the binary classification background we have two classes that we want to distinguish: positive and negative. In this scenario there are four possible outcomes:- TP (True Positive): The object belongs to class positive and we classified it as positive,
- FP (False Positive ): The object belongs to class negative and we classified it as positive,
- TN (True Negative): The object belongs to class negative and we classified it as negative,
- FN (False Negative): The object belongs to class positive but we classified it as negative
| Reality | |||
| Positive | Negative | ||
| Prediction | Positive | TP | FP |
| Negative | FN | TN | |