vadimlebovici/eulearning
Eulearning: Euler characteristic tools for topological data analysis
This tool helps researchers and data scientists analyze complex datasets by applying a technique called topological data analysis. It takes raw data, often represented as point clouds or graphs, and extracts 'Euler characteristic profiles' which describe the shape and structure of the data. This allows users to gain deeper insights into the underlying topology, which can be useful for classification or anomaly detection tasks.
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Use this if you need to understand the fundamental 'shape' or 'connectedness' of your data, especially for multi-parameter datasets, and want to use advanced topological features for machine learning.
Not ideal if you are looking for simple statistical summaries or basic machine learning models without a focus on the geometric and topological properties of your data.
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Language
Python
License
MIT
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Last pushed
Mar 09, 2023
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