User Clustering for Rate Splitting using Machine Learning.
Roberto PereiraAnay Ajit DeshpandeCristian J. Vaca-RubioXavier MestreAndrea ZanellaDavid GregorattiElisabeth de CarvalhoPetar PopovskiPublished in: EUSIPCO (2022)
Keyphrases
- machine learning
- unsupervised learning
- information extraction
- end users
- clustering algorithm
- collaborative filtering
- supervised classification
- machine learning algorithms
- user interaction
- artificial intelligence
- data points
- computer vision
- machine learning methods
- data mining
- self organizing maps
- user preferences
- clustering method
- user defined
- information theoretic
- spectral clustering
- hierarchical clustering
- categorical data
- user interface
- computer science
- data clustering
- user satisfaction
- user feedback
- outlier detection
- anomaly detection
- user queries
- decision trees
- neural network
- supervised learning
- relevance feedback
- support vector machine
- feature selection
- active learning
- k means
- recommender systems
- natural language