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- W2392488358 abstract "Projection pursuit cluster(PPC) model is widely used in multifactor cluster analysis,but there are few problems needed to be solved in practice,and cutoff radius,which is an important parameter,is one of them.Aimed at the existing problems of PPC model and based on immune evolution algorithm,a projection pursuit dynamic cluster(PPDC) model,which combines dynamic cluster method with projection pursuit principle,is proposed for the first time in this study.As to PPDC model,the key of it lies in how to construct the projection index,and its operation process includes four steps.Compared with PPC model,PPDC model has its outstanding advantages,on one hand,it successfully avoids the problem of parameter calibration in PPC model,and on the other hand,the final cluster results can be output directly,and thus the subjectivity of PPC model is effectively eliminated.So PPDC model makes the cluster results more objective and definite,and besides that,it is also robust and easy to operate in practice.PPDC model is applied to study flood classification,and the test shows that PPDC model is feasible and effective,and it provides a powerful tool for the solution of similar problems." @default.
- W2392488358 created "2016-06-24" @default.
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- W2392488358 date "2007-01-01" @default.
- W2392488358 modified "2023-09-23" @default.
- W2392488358 title "Projection pursuit dynamic cluster model" @default.
- W2392488358 hasPublicationYear "2007" @default.
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