@inproceedings{e374445e91534e43b5ec207ee89c6ae4,
title = "Adjust and explain the clustering results of categorical data",
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 of 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 to explain the meaning of clustering results with the help of calculating the ratio of frequency is given. The effectiveness of the method is illustrated by the numeric experiments. Lastly, some problems that will be studied further are pointed out.",
keywords = "Adjust clustering results, Categorical data, Cluster, Explain clustering results",
author = "Baojia Li and Yongqian Liu",
year = "2010",
doi = "10.1109/AICI.2010.152",
language = "英语",
isbn = "9780769542256",
series = "Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010",
pages = "137--140",
booktitle = "Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010",
note = "2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 ; Conference date: 23-10-2010 Through 24-10-2010",
}