PyOD

Outlier Detection Using PyOD

by
Outlier Detection Using PyOD

Source: DeepHub IMBA This article is approximately 1200 words long and is recommended for a 5-minute read. In this article, we will introduce the PyOD package and provide detailed code examples. Outlier detection is a key task in various fields. PyOD, which stands for Python Outlier Detection, simplifies the process of identifying outliers in multivariate … Read more

KNN Outlier Detection Algorithm in Python

by
KNN Outlier Detection Algorithm in Python

K-nearest neighbor (KNN) is one of the most popular algorithms in machine learning, widely used in both supervised and unsupervised learning. In supervised learning, KNN is used to calculate the distance to k neighbors and can define outliers. In unsupervised learning, KNN is also used to calculate the distances to neighbors and then define outliers. … Read more