[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 21, Issue 1 (9-2016) ::
Andishe 2016, 21(1): 23-33 Back to browse issues page
‎A Bayesian mixture model‎ for classification of certain and uncertain data
‎Farzad Eskandari‎ * , ‎Imaneh Khodayari Samghabadi‎
Abstract:   (5507 Views)

‎There are different types of classification methods for classifying the certain data‎. ‎All the time the value of the variables is not certain and they may belong to the interval that is called uncertain data‎. ‎In recent years‎, ‎by assuming the distribution of the uncertain data is normal‎, ‎there are several estimation for the mean and variance of this distribution‎. ‎In this paper‎, ‎we consider the mean and variance for each of the start and end of intervals‎. ‎Thus we assume that the distribution of uncertain data is bivariate normal distribution‎. ‎We used the maximum likelihood to estimate the means and variances of the bivariate normal distribution‎. ‎Finally‎, ‎Based on the Naive Bayesian classification‎, ‎we propose a Bayesian mixture algorithm for classifying the certain and uncertain data‎. ‎The experimental results show that the proposed algorithm has high accuracy.

Keywords: ‎Data classification‎, ‎Naive Bayesian classification‎, ‎Uncertain numerical attribute‎, ‎Maximum likelihood estimation‎, ‎Accuracy‎.
Full-Text [PDF 345 kb]   (1562 Downloads)    
Type of Study: Applicable | Subject: Special
Received: 2015/02/21 | Accepted: 2016/10/8 | Published: 2016/10/8
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Eskandari‎ ‎, Khodayari Samghabadi‎ ‎. ‎A Bayesian mixture model‎ for classification of certain and uncertain data. Andishe 2016; 21 (1) :23-33
URL: http://andisheyeamari.irstat.ir/article-1-363-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 21, Issue 1 (9-2016) Back to browse issues page
مجله اندیشه آماری Andishe _ye Amari
Persian site map - English site map - Created in 0.05 seconds with 36 queries by YEKTAWEB 4645