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Self-organizing segmentation for house object
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 al...
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Main Authors: | , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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Summary: | 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. |
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ISSN: | 2093-7121 |