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Model Perspective
Model Perspective
Aug 13, 2022 · Artificial Intelligence

Mastering Outlier Detection: Techniques, Algorithms, and PyOD Implementation

Outlier detection identifies data points far from the norm, using methods such as the 3‑sigma rule, boxplots, K‑Nearest Neighbors, and numerous probabilistic and proximity‑based algorithms, with practical PyOD code examples for training, evaluating, and visualizing models across various techniques.

Anomaly DetectionMachine Learningoutlier detection
0 likes · 8 min read
Mastering Outlier Detection: Techniques, Algorithms, and PyOD Implementation
IT Services Circle
IT Services Circle
Mar 23, 2022 · Artificial Intelligence

Local Outlier Factor (LOF) Algorithm: Theory, Workflow, Pros & Cons, and Python Implementation

This article introduces the classic density‑based anomaly detection method Local Outlier Factor (LOF), explains its underlying concepts such as k‑distance, reachability distance, and local reachability density, outlines the algorithm steps, discusses its advantages and limitations, and provides practical Python examples using PyOD and scikit‑learn.

Anomaly DetectionLOFMachine Learning
0 likes · 10 min read
Local Outlier Factor (LOF) Algorithm: Theory, Workflow, Pros & Cons, and Python Implementation