My Account | Careers | Downloads | Blog

PROJECT TITLE :

Bayesian Fuzzy Clustering

ABSTRACT:

We present a Bayesian probabilistic model and inference algorithm for fuzzy clustering that gives expanded capabilities over the traditional Fuzzy C-Means approach. Additionally, we tend to extend the Bayesian Fuzzy Clustering model to handle a variable number of clusters and present a particle filter inference technique to estimate the model parameters together with the amount of clusters. We show results on artificial and real knowledge and compare with other approaches.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Predicting Hot Events in the Early Period through Bayesian Model for Social Networks ABSTRACT: It is essential for a wide variety of applications, such as information dissemination mining, ad recommendation, and
PROJECT TITLE : Distributed Bayesian Matrix Decomposition for Big Data Mining and Clustering ABSTRACT: Matrix decomposition is one of the essential tools that must be utilized in order to extract useful information from the
PROJECT TITLE : Robust Empirical Bayesian Reconstruction of Distributed Sources for Electromagnetic Brain Imaging ABSTRACT: Electromagnetic brain imaging uses non-invasive recordings of magnetic fields and electric potentials
PROJECT TITLE : Variational Bayesian Blind Color Deconvolution of Histopathological Images ABSTRACT: In most whole-slide histology images, two or more chemical dyes are used. In digital pathology, slide stain separation or colour
PROJECT TITLE : Bayesian Polytrees With Learned Deep Features for Multi-Class Cell Segmentation ABSTRACT: Quantitative cell biology relies heavily on being able to identify different cell compartments, cell types, and the ways

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry