DocumentCode
2649604
Title
Notice of Retraction
Application of weighted distance in clustering of hydraulic press
Author
Wang Ya ; Li Da-hua ; Zhang Si-bing
Author_Institution
Sch. of Mech. & Electr. Eng., Anhui Univ. of Archit., Hefei, China
Volume
7
fYear
2010
fDate
16-18 April 2010
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.
The theory and statistics of clustering are introduced. The clustering based on the weighted distance is applied to cluster hydraulic press. This clustering method is proved applicable by the analysis of example. Clustering by longest distance is compared to clustering by shortest distance and the former is more suitable to solve the clustering task of hydraulic press.
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.
The theory and statistics of clustering are introduced. The clustering based on the weighted distance is applied to cluster hydraulic press. This clustering method is proved applicable by the analysis of example. Clustering by longest distance is compared to clustering by shortest distance and the former is more suitable to solve the clustering task of hydraulic press.
Keywords
hydraulic systems; mechanical engineering computing; pattern clustering; presses; statistical analysis; clustering analysis; hydraulic press; statistics; weighted distance; Clustering methods; Electronic mail; Euclidean distance; Manufacturing; Mechanical products; Pattern recognition; Product design; Programmable logic arrays; Statistics; Unsupervised learning; class; clustering; hydralulic press; weighted distance;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6347-3
Type
conf
DOI
10.1109/ICCET.2010.5485446
Filename
5485446
Link To Document