BFA and BMF: What is the difference

A. Frolov, A. Abraham, Pavel Polyakov, D. Húsek, H. Řezanková
{"title":"BFA and BMF: What is the difference","authors":"A. Frolov, A. Abraham, Pavel Polyakov, D. Húsek, H. Řezanková","doi":"10.1109/ISDA.2012.6416656","DOIUrl":null,"url":null,"abstract":"Studied are differences of two approaches to binary data dimension reduction. The first one is Boolean Matrix Factorization and the second one is Expectation Maximization Boolean Factor Analysis. The two BMF methods are used for comparison. First is M8 method from the BMDP statistical software package. The second is the BMF method, as suggested by Belohlavek and Vychodil (BVA2). These two are compared to Expectation Maximization Boolean Factor Analysis extended with binarization step developed here. Generated (Bars problem) and mushroom dataset are used for(experiments. In particular, under scrutiny was the reconstruction ability of the computed factors and the information gain as the measure of dimension reduction. In addition, presented are some general remarks on all the methods being compared.","PeriodicalId":370150,"journal":{"name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISDA.2012.6416656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Studied are differences of two approaches to binary data dimension reduction. The first one is Boolean Matrix Factorization and the second one is Expectation Maximization Boolean Factor Analysis. The two BMF methods are used for comparison. First is M8 method from the BMDP statistical software package. The second is the BMF method, as suggested by Belohlavek and Vychodil (BVA2). These two are compared to Expectation Maximization Boolean Factor Analysis extended with binarization step developed here. Generated (Bars problem) and mushroom dataset are used for(experiments. In particular, under scrutiny was the reconstruction ability of the computed factors and the information gain as the measure of dimension reduction. In addition, presented are some general remarks on all the methods being compared.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
BFA和BMF:有什么区别
研究了二值数据降维的两种方法的差异。第一种是布尔矩阵分解,第二种是期望最大化布尔因子分析。用两种BMF方法进行比较。首先是来自BMDP统计软件包的M8方法。第二种是由Belohlavek和Vychodil (BVA2)提出的BMF方法。将这两种方法与期望最大化布尔因子分析进行了比较。生成(条形问题)和蘑菇数据集用于(实验)。特别需要注意的是计算因子的重建能力和作为降维度量的信息增益。此外,还对所比较的各种方法作了一般性评述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Prediction of risk score for heart disease using associative classification and hybrid feature subset selection WSDL-TC: Collaborative customization of web services Knowledge representation and reasoning based on generalised fuzzy Petri nets Interval-valued fuzzy graph representation of concept lattice Community optimization: Function optimization by a simulated web community
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1