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GitHub / Gatmatz / OutliersDetection
This project utilizes Apache Spark for outlier detection on 2D point data, employing the K-means clustering algorithm. The K-means algorithm is leveraged to group normal data points, and outliers are identified based on their deviation from the established clusters.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Gatmatz%2FOutliersDetection
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Python
Repo Size: 585 KB
Dependencies: pending
Created: 5 months ago
Updated: 4 months ago
Last pushed: 4 months ago
Last synced: 4 months ago
Topics: apache-spark, k-means, outlier-detection, scalable