dawnranger/IDEC-pytorch
Pytorch implementation of Improved Deep Embedded Clustering
This project helps data scientists and machine learning practitioners group similar data points together when the natural clusters aren't immediately obvious. It takes in unlabeled datasets, often high-dimensional, and outputs assignments indicating which cluster each data point belongs to, along with learned feature representations. This tool is for those who need to discover underlying structure in their data for tasks like customer segmentation or anomaly detection.
109 stars. No commits in the last 6 months.
Use this if you have complex, unlabeled data and need to identify distinct groups or patterns within it.
Not ideal if your data already has clear, labeled categories or if you need to classify new data based on existing labels.
Stars
109
Forks
29
Language
Python
License
—
Category
Last pushed
Jan 09, 2019
Commits (30d)
0
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