@inproceedings{a2044ec5a0894a378c32a487ea9d555e,
title = "The discovery of hierarchical cluster structures assisted by a visualization technique",
abstract = "Hierarchical clustering is very versatile in real world applications. However, due to the issue of higher computational complexity from which automated hierarchical clustering algorithms suffer, the user can hardly correct possible misclassifications from the tree-structured nature of clusters. Visualization is a powerful technique for data analysis, however, most of the existing cluster visualization techniques are mainly used for displaying clustering results. In order for the user to be directly involved in the process of discovering nested cluster structures, we introduce a visualization technique, called HOV3, to detect clusters and their internal cluster structure. As a result, our approach provides the user an effective method for the discovery of nested cluster structures by visualization.",
author = "Zhang, {Ke Bing} and Orgun, {Mehmet A.} and Yanchang Zhao and Nayak, {Abhaya C.}",
year = "2010",
doi = "10.1007/978-3-642-17537-4_85",
language = "English",
isbn = "3642175368",
volume = "6443 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
number = "PART 1",
pages = "703--711",
editor = "Wong, {Kok Wai} and B. Mendis and U. Sumudu and Abdesselam Bouzerdoum",
booktitle = "Neural Information Processing: Theory and Algorithms - 17th International Conference, ICONIP 2010, Proceedings",
address = "United States",
edition = "PART 1",
note = "17th International Conference on Neural Information Processing, ICONIP 2010 ; Conference date: 22-11-2010 Through 25-11-2010",
}