Self-Organizing Segmentation For House Object

被引：0
|
作者：
Lee, Moonju [1 ]
Lee, Sukhan [1 ]
机构：
[1] Sungkyunkwan Univ, Dept Informat & Commun Engn, Suwon, South Korea
来源：
2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2011年
关键词：
Segmentation; Clustering;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Clustering is the basic and first step of a process in many different fields. Clustering has been researched for many years. K-means clustering method is one of famous algorithms. However it cannot determine how many clusters are needed. This algorithm overcomes a disadvantage of other clustering algorithms. This paper presents a new method. Our algorithm can choose clustering number automatically.
引用
收藏
页码：1082 / 1084
页数：3
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