Title :
Adjust and Explain the Clustering Results of Categorical Data
Author :
Li, Baojia ; Liu, Yongqian
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol. at Weihai, Weihai, China
Abstract :
With the improvement of the information enriching and sharing, it is possible and valuable to increase the information content of the clustering results referencing external information. A method to adjust clustering results categorical data referencing an external set is put forward. From the applied point of view, it is very important to explain correctly the meaning of clustering results. The approach explain the meaning of clustering results with the help calculating the ratio of frequency is given. The effectiveness the method is illustrated by the numeric experiments. Lastly, some problems that will be studied further are pointed out.
Keywords :
data handling; pattern clustering; set theory; categorical data referencing; clustering result; information content; information enriching; information sharing; Algorithm design and analysis; Clustering algorithms; Clustering methods; Collaboration; Data mining; Data models; adjust clustering results; categorical data; cluster; explain clustering results;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.152
