International Journal of Internet, Broadcasting and Communication
- Volume 6 Issue 1
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- Pages.16-22
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- 2014
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- 2288-4920(pISSN)
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- 2288-4939(eISSN)
DOI QR Code
Pattern Analysis and Performance Comparison of Lottery Winning Numbers
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Jung, Yong Gyu
(Dept. of Medical IT Marketing, Eulji University)
;
- Han, Soo Ji (Dept. of Medical IT Marketing, Eulji University) ;
- kim, Jae Hee (Chief executive officer, T2L Corp.)
- Received : 2013.11.05
- Accepted : 2014.02.14
- Published : 2014.02.28
Abstract
Clustering methods such as k-means and EM are the group of classification and pattern recognition, which are used in management science and literature search widely. In this paper, k-means and EM algorithm are compared the performance using by Weka. The winning Lottery numbers of 567 cases are experimented for our study and presentation. Processing speed of the k-means algorithm is superior to the EM algorithm, which is about 0.08 seconds faster than the other. As the result it is summerized that EM algorithm is better than K-means algorithm with comparison of accuracy, precision and recall. While K-means is known to be sensitive to the distribution of data, EM algorithm is probability sensitive for clustering.