本文選題：Kernel_PCA算法　切入點：項目執(zhí)行情況　出處：《中國衛(wèi)生統計》2017年04期 　論文類型：期刊論文

【摘要】：正近年來,中央財政用于支持全國中醫(yī)藥事業(yè)發(fā)展的專項資金屢創(chuàng)歷史新高,財政部等部門對中醫(yī)藥項目預算執(zhí)行管理提出更高的要求~([1-2])。中醫(yī)藥項目數據并不存在直接的線性關系,應用單一指標使用的評估方法很難直接和全面反映全國中醫(yī)藥項目總體執(zhí)行情況。Kernel_PCA算法不是一種新型算法,它是由主成分分析法(principal component analysis,PCA)進一步發(fā)展而來,可處理非線性數據,通過非線性映射將初始
[Abstract]:In recent years, the special funds used by the central government to support the development of traditional Chinese medicine have repeatedly reached record highs. The Ministry of Finance and other departments have put forward higher requirements for the implementation and management of the budget of traditional Chinese medicine projects ([1-2].) there is no direct linear relationship between the project data of traditional Chinese medicine and that of the Chinese medicine project. It is difficult to directly and comprehensively reflect the overall implementation of Chinese medicine projects by using single index. Kernel PCA algorithm is not a new algorithm. It is further developed by principal component analysis method (PCA) and can deal with nonlinear data. The initial
【作者單位】： 湖北中醫(yī)藥大學信息工程學院;
【基金】：湖北省教育廳人文社會科學研究項目(17Q098) 中醫(yī)藥項目績效考核數據分析關鍵算法研究
【分類號】：O212.4;R2-0
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本文編號：1579786