An Approach to Evaluate the Fitness of One Class Structure via Dynamic Centroids

ASIA unversity > 資訊學院 > 生物資訊與醫學工程學系 > 期刊論文 > Item 310904400/16763

請使用永久網址來引用或連結此文件: http://asiair.asia.edu.tw/ir/handle/310904400/16763

題名:	An Approach to Evaluate the Fitness of One Class Structure via Dynamic Centroids
作者:	王經篤;Wang, Jing-Doo;劉湘川;Liu, Hsiang-Chuan
貢獻者:	生物與醫學資訊學系
日期:	2011-10
上傳時間:	2012-11-23 09:16:44 (UTC+0)
摘要:	Classification is a supervised learning approach. However, it might be beyond one’s expectation to achieve high accuracy with bad quality of training instances. On the other hand, the classes (categories) for storing the instances were usually determined by related experts in the beginning. After certain period of time, therefore, it is attractive to know whether these existing classes are still suitable for storing new instances or not. In this paper we compute the value of Class Structure Ambiguity (CSA) of one class structure via Dynamic Centroid (DC) to evaluate the ambiguities among the classes. The DC approach was to have distinct centroids for one class from individual instance’s point of view, instead of having only one centroid for that class. To verify the CSA do reveal the ambiguity of class structure, the Pearson’s correlation between the values of the CSA and that of the accuracy achieved by SVM classifier was computed according to variant class structures which were generated manually with the ambiguous degrees under control. Experimental results showed that the values of the Pearson’s correlation were almost −1 as perfect as negative correlation. That meant the CSA did reveal the ambiguous degree of one class structure.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS,38(11),13764–13772.
顯示於類別:	[生物資訊與醫學工程學系 ] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
index.html		0Kb	HTML	519	檢視/開啟

在ASIAIR中所有的資料項目都受到原著作權保護.

資料載入中.....