中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A decision cluster classification model with model selection strategy

文献类型:期刊论文

作者Zhaocai Sun; Yunming Ye; Zhexue Huang; Wu Chen; Chunshan Li
刊名Advances in Information Sciences & Service Sciences
出版日期2012
英文摘要The Decision Cluster Classification (DCC) model is a clustering-based classification method. The aim is to solve the hard problem in classification with the aid of clustering techniques. In DCC model, model selection is an important step , which optimizes DCC model in classification accuracy and time consuming. This paper focuses on the model selection problem and proposes a scheme. Firstly, a theory is proposed to estimate the upper error bound for a DCC model. Then, we give a strategy to select the best DCC model by reducing error bound. Empirical results show that our theory is reasonable and our model selection method can enhance DCC model. Moreover, the optimized DCC model can outperform famous classifiers (e.g. SVM, C4.5) on some data sets.
收录类别EI
原文出处http://www.aicit.org/AISS/ppl/AISS1918PPL.pdf
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/4148]  
专题深圳先进技术研究院_数字所
作者单位Advances in Information Sciences & Service Sciences
推荐引用方式
GB/T 7714
Zhaocai Sun,Yunming Ye,Zhexue Huang,et al. A decision cluster classification model with model selection strategy[J]. Advances in Information Sciences & Service Sciences,2012.
APA Zhaocai Sun,Yunming Ye,Zhexue Huang,Wu Chen,&Chunshan Li.(2012).A decision cluster classification model with model selection strategy.Advances in Information Sciences & Service Sciences.
MLA Zhaocai Sun,et al."A decision cluster classification model with model selection strategy".Advances in Information Sciences & Service Sciences (2012).

入库方式: OAI收割

来源:深圳先进技术研究院

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