The Bayesian Cluster Validity Index (BCVI) is a new concept that directly applies the Bayesian framework to CVIs. This connection is unique and has not been explored before in the literature. In this talk, we introduce BCVI, which can be used in conjunction with any existing CVIs, particularly advantageous for users who have prior knowledge of the expected number of clusters in their datasets. We will explore the BCVI concept in depth, demonstrating its integration with the BayesCVI (https://CRAN.R-project.org/package=BayesCVI) available on CRAN and applying it to diverse real-world applications such as health science data and MRI image brain tumor detection.
Nathakhun Wiroonsri | Onthada Preedasawakul
King Mongkut's University of Technology Thonburi | King Mongkut's University of Technology Thonburi
{BayesCVI} A Bayesian cluster validity index with medical applications
The Bayesian Cluster Validity Index (BCVI) is a new concept that directly applies the Bayesian framework to CVIs. This connection is unique and has not been explored before in the literature. In this talk, we introduce BCVI, which can be used in conjunction with any existing CVIs, particularly advantageous for users who have prior knowledge of the expected number of clusters in their datasets. We will explore the BCVI concept in depth, demonstrating its integration with the BayesCVI (https//CRAN.R-project.org/package=BayesCVI) available on CRAN and applying it to diverse real-world applications such as health science data and MRI image brain tumor detection.