Clustering Uncertain Interval Data Using a New Hausdorff-Based Metric
Clustering Uncertain Interval Data Using a New Hausdorff-Based Metric
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Özet
This paper presents a new index for measuring interval distances and its related metric. The proposed index and metric are both based on the Hausdorff distance which can be used for clustering uncertain interval data. Then using the new metric, a clustering method is introduced for clustering of intervals. Finally, some experiments are provided to validate the method. Results show that the method can identify appropriate clusters efficiently. © 2010 IEEE.
Açıklama
Anahtar kelimeler
Clustering interval data, Component, Hausdorff distance, Pattern recognition, Uncertain interval data, Component, Clustering interval data, Hausdorff distance, Pattern recognition, Uncertain interval data
Bilim Dalları
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Alıntı
2010 Annual North American Fuzzy Information Processing Society Conference, NAFIPS'2010, 12 July 2010 through 14 July 2010, Toronto, ON, 81691
WoS Q
N/A
Scopus Q
N/A
Kaynak
Annual Conference of the North American Fuzzy Information Processing Society - NAFIPS
Cilt
Sayı
Başlangıç Sayfası
1
Bitiş Sayfası
5
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