Sparse Density Trees and Lists: An Interpretable Alternative to High-Dimensional Histograms
- Siong Thye Goh ,
Corresponding Author
Siong Thye Goh
[email protected]https://orcid.org/0000-0001-7563-0961
Lee Kong Chian School of Business, Singapore Management University, Singapore 178899;
- Lesia Semenova ,
Corresponding Author
Lesia Semenova
[email protected]https://orcid.org/0000-0002-7742-3955
Department of Computer Science, Duke University, Durham, North Carolina 27708
- Cynthia Rudin
Corresponding Author
Cynthia Rudin
[email protected]https://orcid.org/0000-0003-4283-2780
Department of Computer Science, Duke University, Durham, North Carolina 27708
Corresponding Author
Siong Thye Goh
[email protected]https://orcid.org/0000-0001-7563-0961
Lee Kong Chian School of Business, Singapore Management University, Singapore 178899;
Corresponding Author
Lesia Semenova
[email protected]https://orcid.org/0000-0002-7742-3955
Department of Computer Science, Duke University, Durham, North Carolina 27708
Corresponding Author
Cynthia Rudin
[email protected]https://orcid.org/0000-0003-4283-2780
Department of Computer Science, Duke University, Durham, North Carolina 27708

