Robust Bayesian clustering
✍ Scribed by Cédric Archambeau; Michel Verleysen
- Publisher
- Elsevier Science
- Year
- 2007
- Tongue
- English
- Weight
- 815 KB
- Volume
- 20
- Category
- Article
- ISSN
- 0893-6080
No coin nor oath required. For personal study only.
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Scientific Data Gathering -- Displaying And Summarizing Data -- Logic, Probability, And Uncertainty -- Discrete Random Variables -- Bayesian Inference For Discrete Random Variables -- Continuous Random Variables -- Bayesian Inference For Binomial Proportion -- Comparing Bayesian And Frequentist Infe
Fuzzy clustering helps to ÿnd natural vague boundaries in data. The Fuzzy C-Means method (FCM) is one of the most popular clustering methods based on minimization of a criterion function. However, one of the greatest disadvantages of this method is its sensitivity to presence of noise and outliers i