A new approach for determining the prior probabilities in the classification problem by Bayesian method-Reference-Cited by-同舟云学术

A new approach for determining the prior probabilities in the classification problem by Bayesian method

Published:2016-05-25 Issue:3 Volume:11 Page:629-643
ISSN:1862-5347
Container-title:Advances in Data Analysis and Classification
language:en
Short-container-title:Adv Data Anal Classif

Author:

Nguyen-Trang Thao,Vo-Van Tai

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Link

http://link.springer.com/article/10.1007/s11634-016-0253-y/fulltext.html

Reference17 articles.

1. Bora DJ, Gupta AK (2014) Impact of exponent parameter value for the partition matrix on the performance of fuzzy C means Algorithm. arXiv:1406.4007 (arXiv preprint)

2. Cannon RL, Dave JV, Bezdek JC (1986) Efficient implementation of the fuzzy c-means clustering algorithms. IEEE Trans Pattern Anal Mach Intell 2:248–255

3. Fadili MJ et al (2001) On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series. Med Image Anal 5(1):55–67

4. Ghosh AK, Chaudhuri P, Sengupta D (2006) Classification using Kernel density estimates. Technometrics 48(1):120–132

5. Hall LO et al (1992) A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain. IEEE Trans Neural Netw 3(5):672–682

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A supervised learning algorithm based on the quasi-Bayesian method for the probability density functions and application for medical data;Knowledge-Based Systems;2024-09

2. Classifying for interval and applying for image based on the extracted texture feature;Granular Computing;2024-02-22

3. Uncertainly Analysis of Prior Distribution in Accelerated Degradation Testing Bayesian Evaluation Method Based on Deviance Information Criterion;Symmetry;2024-01-30

4. Multi-class classification using a new Bayesian method;Model Assisted Statistics and Applications;2023-09-28

5. Fuzzy cluster analysis algorithm for image data based on the extracted feature intervals;Granular Computing;2023-09-21