@inproceedings{a653dded44fc47bcb999f7d1d63c1c3c,
title = "Employing immune network model for clustering with plastic structure",
abstract = "A clustering method that generates a plastic cluster structure is proposed by employing the immune network model. Various kinds of clustering and categorization methods have been applied to the information visualization systems on WWW. However, the user's context through a series of information retrieval (IR) is not fully considered. The proposed clustering method can reflect the user's context to the cluster structure by reusing the clusters that have been effective in the previous retrievals. The behavior of the proposed clustering method is analyzed with preliminary experiments, and it is shown that the set of clusters can be activated without overlapping. The function of the memory cell is also introduced, which enables to give a priority of activation to a specified cluster.",
author = "Yasufumi Takama and Kaoru Hirota",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2001 ; Conference date: 29-07-2001 Through 01-08-2001",
year = "2001",
doi = "10.1109/CIRA.2001.1013193",
language = "English",
series = "Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "178--183",
editor = "Hong Zhang and Liu, {Peter Xiaoping}",
booktitle = "Proceedings - 2001 IEEE International Symposium on Computational Intelligence in Robotics and Automation",
address = "United States",
}