DocumentCode
2999060
Title
Using the Triangle Inequality to Accelerate TTSAS Cluster Algorithm
Author
He, Chunxia ; Chang, Jinyi ; Chen, Xiaoyun
Author_Institution
Dept. of Comput. Sci. & Eng., Changshu Inst. of Technol., Changshu, China
fYear
2010
fDate
25-27 June 2010
Firstpage
2507
Lastpage
2510
Abstract
Two-Threshold Sequential Algorithm Scheme (TTSAS) is a straightforward clustering algorithm, and do not a priori presume a fixed number of clusters. We show how to accelerate it dramatically, while still always computing exactly the same result as the standard algorithm. The accelerated algorithm TI_TTSAS avoids unnecessary distance calculations by applying the triangle inequality. Experiments show that the new algorithm is more effective for datasets of more dimensions, and becomes more and more effective as the number of clusters increases.
Keywords
data analysis; pattern clustering; statistical analysis; TTSAS cluster algorithm; clustering algorithm; data set; triangle inequality; two-threshold sequential algorithm scheme; Acceleration; Accuracy; Algorithm design and analysis; Clustering algorithms; Data mining; Delay; Inference algorithms; TI_TTSAS; TTSAS; triangle inequality principle;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-6880-5
Type
conf
DOI
10.1109/iCECE.2010.620
Filename
5630828
Link To Document