Computationally Efficient Outlier Detection for High-Dimensional Data Using the MDP Algorithm
Outlier detection, or anomaly detection as it is known in the machine learning community, has gained interest in recent years, and it is commonly used when the sample size is smaller than the number of variables. In 2015, an outlier detection procedure was proposed 7 for this high-dimensional settin...
Gorde:
| Egile Nagusiak: | , , , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
MDPI AG
2024-09-01
|
| Saila: | Computation |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2079-3197/12/9/185 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|