Title :
Notice of Retraction
Research on the algorithm of date mining based on cluster analysis
Author :
Zhang Qun ; Wang Chun-zhi
Author_Institution :
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Cluster analysis becoming increasingly essential in data mining field, and is mainly used to discover the valuable data distribution and data mode in the potential datum. Based on the pheromone studies on basic clustering model, the theory of information entropy and two classical clustering analysis algorithms, an algorithm of K-means based on the pheromone is presented firstly. The algorithm works with the transformation probability to realize the clustering. It has reduced the number of the parameters and improved the speed of clustering.
Keywords :
data mining; entropy; pattern clustering; probability; K-means algorithm; cluster analysis; data distribution; data mode; date mining; information entropy; pheromone partition; transformation probability; Clustering algorithms; Data mining; K-means algorithm; ant colony; data mining;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5564622
