IsolationKernel/ikpykit
IKPyKit: Isolation Kernel Python toolKit
This toolkit helps you find unusual patterns, group similar items, and detect shifts in various kinds of data, even if it's high-dimensional or constantly changing. It takes in your raw data (like point data, graphs, time series, or trajectories) and outputs insights such as anomaly scores or cluster assignments. Data scientists, researchers, and operations engineers can use this to quickly uncover hidden structures without extensive setup.
No commits in the last 6 months. Available on PyPI.
Use this if you need to analyze diverse datasets for anomalies, clusters, or changes without complex model training or parameter tuning.
Not ideal if your problem requires traditional fixed-kernel similarity measures or if you prefer deep learning models for anomaly detection.
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2
Language
Python
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Last pushed
Apr 27, 2025
Commits (30d)
0
Dependencies
5
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