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