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◈ EN | JP ◆

Lesson 13    ❮    Lesson List    ❮    Top Page


◆  Intro to Anomaly Detection


◈  Nearest-neighbor-based Methods


◆  Clustering-based Methods


◆  Statistical-based Methods


◆  Model-based Methods


⟐  Implementation

See also the following links:

▎ENGLISH

kNN for Anomaly Detection
▸ https://nandhini-aitec.medium.com/day-29-knn-avgknn-medknn-for-identifying-outliers-1e3881227669

Local Outlier Factor - Wikipedia
▸ https://en.wikipedia.org/wiki/Local_outlier_factor


▎日 本 語

k近傍法による異常検知
▸ https://qiita.com/ngayope330/items/fc941b8d49b90319748e

LOFによるデータ密度の推定・外れサンプル(外れ値)の検出・異常検出
▸ https://datachemeng.com/local_outlier_factor/

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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