資源簡介
基于密度的聚類算法的matlab實現,通過配置輸入數據格式,即可實現目標的聚類,效果非常好。
代碼片段和文件信息
function?[classtype]=dbscan(xkEps)
%?Function:?[classtype]=dbscan(xkEps)
%
%?Aim:?
%?Clustring?the?data?with?Density?based?Scan?Algorithm?with?Noise?(DBSCAN)
%
%?Input:?
%?x?-?data?set?(mn);?m-objects?n-variables
%?k?-?number?of?objects?in?a?neighborhood?of?an?object?
%?(minimal?number?of?objects?considered?as?a?cluster)
%?Eps?-?neighborhoog?radius?if?not?known?put?[]
%
%?Output:?
%?class?-?vector?specifying?belongingness?of?the?i-th?object?to?certain?cluster?(m1)
%?type?-?vector?specifying?type?of?the?i-th?object?(core:?1?border:?0?outlier:?-1)
%
%?Example?of?use:
%?x=[randn(302)*.4;randn(402)*.5+ones(401)*[4?4]];
%?[classtype]=dbscan(x5[])
%??????????
%?References:
%?[1]?M.?Ester?H.?Kriegel?J.?Sander?X.?Xu?A?density-based?algorithm?for?discove
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄??????????0??2009-02-27?16:44??DBSCAN
?????文件???????2780??2009-02-27?16:43??DBSCAN\realDBSCAN.m
?????文件???????3825??2009-02-27?16:43??DBSCAN\DBSCAN.m
?????文件????????183??2009-02-02?09:47??DBSCAN\Matlab中文論壇--助努力的人完成畢業設計.url
?????文件???????3543??2009-02-01?16:19??DBSCAN\使用幫助:新手必看.htm
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????????????????10331????????????????????5
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