Density-based clustering of short-text corpora

被引：0
|
作者：
Ingaramo, Diego A. [1 ]
Errecalde, Marcelo L. [1 ]
Rosso, Paolo [2 ]
机构：
[1] UNSL, LIDIC, Avda Ejercito Andes 950, San Luis, Argentina
[2] Univ Politecn Valencia, DSIC, NLE Lab, Valencia 46022, Spain
来源：
PROCESAMIENTO DEL LENGUAJE NATURAL | 2008年 / 41期
关键词：
short-text clustering; density-based algorithms;
D O I：
暂无
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
In this work, we analyse the performance of different density-based algorithms on short-text and narrow domain short-text corpora. We attempt to determine to what extent the features of this kind of corpora impact on the density computation of the clusterings obtained and how robust these algorithms to the different complexity levels are.
引用
收藏
页码：81 / 88
页数：8
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