On the viability of unsupervised T-cell receptor sequence clustering for epitope preference.
Pieter MeysmanNicolas De NeuterSofie GielisDanh Bui ThiBenson OgunjimiKris LaukensPublished in: Bioinform. (2019)
Keyphrases
- unsupervised learning
- unsupervised classification
- clustering method
- unsupervised manner
- unsupervised clustering
- clustering algorithm
- k means
- information bottleneck
- categorical data
- supervised classification
- completely unsupervised
- hierarchical clustering
- self organizing maps
- user preferences
- semi supervised
- cluster validation
- data clustering
- sequential data
- supervised learning
- data points
- information theoretic
- high dimensional data
- anomaly detection