.png){kind=icon}
返回
Dynamic hierarchical algorithms for document clustering
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patrec.2009.11.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, two clustering algorithms called dynamic hierarchical compact and dynamic hierarchical star are presented Both methods aim to construct a cluster hierarchy, dealing with dynamic data sets The first creates disjoint hierarchies of clusters, while the second obtains overlapped hierarchies The experimental results on several benchmark text collections show that these methods not only are suitable for producing hierarchical clustering solutions in dynamic environments effectively and efficiently, but also offer hierarchies easier to browse than traditional algorithms. Therefore, we advocate its use for tasks that require dynamic clustering, such as information organization, creation of document taxonomies and hierarchical topic detection. (C) 2009 Elsevier B V All rights reserved
Keyword:
Hierarchical clustering
Dynamic clustering
Overlapped clustering
期刊
IF:
3.3
论文数:
8.0K
被引数:
1.6W
机构
引用论文
.png){kind=icon}
DOTE: Dual cOnvolutional filTer lEarning for Super-Resolution and Cross-Modality Synthesis in MRI
PREAI
分享收藏
没有更多内容
没有更多内容