Distance and density based clustering algorithm using Gaussian kernel
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- 作者：Emre Gü ; ngö ; r emregungor84@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Ahmet Ö ; zmen ; ozmen@sakarya.edu.tr" class="auth_mail" title="E-mail the corresponding author
- 关键词：Gaussian ; Density-based clustering ; Distribution-based clustering ; Distance-based clustering ; Data mining
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：69
- 期：Complete
- 页码：10-20
- 全文大小：1360 K
文摘
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The new algorithm uses Gaussian kernel and distances to form clusters.
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The new approach does not require any special parameters prior to run.
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Resulting clusters do not change at different runs.