UCSL : A Machine Learning Expectation-Maximization framework for Unsupervised Clustering driven by Supervised Learning.
Robin LouisetPietro GoriBenoit DufumierJosselin HouenouAntoine GrigisEdouard DuchesnayPublished in: CoRR (2021)
Keyphrases
- supervised learning
- machine learning
- unsupervised clustering
- supervised classification
- natural language processing
- expectation maximization
- reinforcement learning
- data mining
- object recognition
- learning tasks
- learning problems
- digital libraries
- feature vectors
- k means
- active learning
- learning algorithm
- computational intelligence
- unsupervised learning
- background knowledge
- pattern recognition