Distance functions for categorical and mixed variables

By Michael H. Albert. 2008

47 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Salvatore Ruggieri
2. Dino Pedreschi
3. Riccardo Guidotti
4. Fosca Giannotti
5. Anna Monreale
6. Franco Turini
7. Sara Hajian
8. Indrė Žliobaitė

In Signal Processing

1. Fosca Giannotti
2. Dino Pedreschi
3. Riccardo Guidotti
4. Franco Turini
5. Anna Monreale
6. Salvatore Ruggieri
7. Yu Zheng

Citations in the corpus

• Local Rule-Based Explanations of Black Box Decision Systems (2018, methodology): “Formally, assuming h categorical features and m − h continuous ones, we use: Our approach is parametric to d (· , ·) , and it can readily be applied to improved heterogeneous distance functions [26].”