Clustering of web search results based on an Iterative Fuzzy C-means Algorithm and Bayesian Information Criterion.
Carlos Alberto Cobos LozadaMartha MendozaMilos ManicElizabeth LeónEnrique Herrera-ViedmaPublished in: IFSA/NAFIPS (2013)
Keyphrases
- bayesian information criterion
- fuzzy c means algorithm
- fuzzy clustering
- model selection
- fuzzy clustering method
- fuzzy c means
- mixture model
- information criterion
- model based clustering
- gaussian mixture model
- clustering method
- clustering algorithm
- cluster centers
- dissimilarity measure
- akaike information criterion
- selection criterion
- speaker diarization
- k means
- unsupervised learning
- hierarchical clustering
- cluster analysis
- cross validation
- prior knowledge