fracpete/collective-classification-weka-package
Semi-Supervised Learning and Collective Classification
This WEKA package helps data analysts and researchers classify data more effectively when many data points are unlabeled but related. It takes your dataset, which includes both labeled and unlabeled examples, and outputs more accurate classifications by considering the relationships between data points. This is for data scientists and researchers who work with machine learning tasks.
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Use this if you have a dataset where only a small portion of your data is labeled, but you know there are connections or dependencies between your data points that should influence their classification.
Not ideal if your data points are completely independent, or if you primarily work with fully labeled datasets where traditional supervised learning methods suffice.
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Language
Java
License
GPL-3.0
Category
Last pushed
Oct 12, 2020
Commits (30d)
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