GitHub / LudovicGardy / convolutional_kernel_density_estimation
A method designed for robust data visualization and analysis, using an innovative technique specifically developed for anomaly detection in time series. Baptised "Convolutional Kernel Density Estimation" (CKDE), this approach enhances the detection and analysis of anomalies.
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PURL: pkg:github/LudovicGardy/convolutional_kernel_density_estimation
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 1.77 MB
Dependencies parsed at: Pending
Created at: over 3 years ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: 20 days ago
Topics: biology, convolution, electroencephalography, epilepsy, image-processing, python, signal-processing, software-engineering