A probabilistic approach towards an unbiased semi-supervised cluster tree

Keyphrases

• Probabilistic Approach 100%
• Cluster Tree 100%
• Semi-supervised Cluster 100%
• Semi-supervised Learning 50%
• Unlabeled Data 50%
• Classification Accuracy 25%
• Number of Clusters 25%
• Hierarchical Tree 25%
• Class number 25%
• Labeled Data 25%
• K-means Algorithm 25%
• Model Performance 25%
• Semi-supervised Learning Algorithm 25%
• Annotated Dataset 25%
• Limited Labeled Data 25%
• Confidence Error 25%
• Annotation Cost 25%

Computer Science

• Semisupervised Learning 100%
• Probabilistic Approach 100%
• Unlabeled Data 66%
• Classification Accuracy 33%
• Learning Algorithm 33%
• Annotation 33%
• Mean Algorithm 33%
• Performance Model 33%
• Research Effort 33%