GitHub / Rohithram / Self-Organizing-Maps-using-KNN
High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neural Networks using K Nearest Neighbors
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Stars: 9
Forks: 5
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 24 MB
Dependencies parsed at: Pending
Created at: almost 7 years ago
Updated at: over 1 year ago
Pushed at: almost 7 years ago
Last synced at: over 1 year ago
Topics: anomaly-detection, knn-algorithm, machine-learning, self-organizing-map, time-series-analysis