DocumentCode :
555123
Title :
Clustering method and its formalization
Author :
Ji Dan ; Qiu Jianlin ; Chen Yanyun ; Chen Li
Author_Institution :
Dept. of Comput. Sci. & Technol., Nantong Univ., Nantong, China
Volume :
1
fYear :
2011
fDate :
20-22 Aug. 2011
Firstpage :
57
Lastpage :
61
Abstract :
Clustering method is an important research technology in data mining, and it has a widely use in our life. This paper will describe some traditional algorithms according to different clustering classification, and point out their advantages and shortcomings. Meanwhile, this paper will summarize the concept of formalization, and introduce several common formal specification languages. After applying the predicate logic language with the real example, we can describe the traditional clustering algorithms like k-means, validate the correctness of method itself, and provide a new research idea for algorithms´ examination and innovation.
Keywords :
data mining; formal concept analysis; formal specification; pattern classification; pattern clustering; algorithm examination; clustering classification; data mining; formal specification language; formalization concept; formalization method; k-means algorithm; predicate logic language; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Clustering methods; Computers; Data mining; Partitioning algorithms; clustering; data mining; formalization; predicate logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
Type :
conf
DOI :
10.1109/ITAIC.2011.6030150
Filename :
6030150
Link To Document :
بازگشت