Are Model-Based Clustering and Neural Clustering Consistent? A Case Study from Bioinformatics.
Davide BacciuElia BiganzoliPaulo J. G. LisboaAntonina StaritaPublished in: KES (2) (2008)
Keyphrases
- model based clustering
- hierarchical clustering
- clustering algorithm
- expectation maximization
- k means
- agglomerative hierarchical clustering
- em algorithm
- finite mixture models
- mixture model
- document clustering
- bayesian information criterion
- machine learning
- clustering method
- unsupervised learning
- data analysis
- case study
- information retrieval systems
- text mining
- data points
- domain knowledge
- prior knowledge
- vector space model
- image segmentation
- image processing
- data mining