A hierarchical clustering method for attribute discretization in rough set theory

Li, Mengxin; Wu, Chengdong; Han, Zhonghua; Yue, Yong

doi:10.1109/icmlc.2004.1380437

Cited by 12 publications

(2 citation statements)

References 9 publications

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“…Some researchers Introduced fuzziness into discretization [12], some researchers discussed Discretization of information granularity [13]. Some researchers proposed the attributes-clustering based discretization method [14].…”

Section: Introductionmentioning

confidence: 99%

Research on RSIEDM Algorithm and the Application to Lightning Disaster Statistics

Hou¹,

R²,

Shi³

et al. 2013

Advances in Multimedia, Communication and Networking

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This paper proposes a new method based on Rough set theoryinformation entropy-discernible matrix discretization. The method uses rough, information entropy and Discernible matrix that can be more reasonable and more accurately to continuously attribute discretization, and making created decision tree have better accuracy. In the application of optimization of lightning disaster statistics and evaluation result of lightning disaster, the algorithm which has obtained a better effect.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on RSIEDM Algorithm and the Application to Lightning Disaster Statistics

Hou¹,

R²,

Shi³

et al. 2013

Advances in Multimedia, Communication and Networking

View full text Add to dashboard Cite

show abstract

“…Some researchers Introduced fuzziness into discretization [14], some researchers discussed Discretization of information granularity [15]. Some researchers proposed the attributes-clustering based discretization method [16].…”

Section: Introductionmentioning

confidence: 99%