Integrated Rough Set based on K-means and CPDA to Extract the Rules of Library Borrowing Clusters
碩士 === 雲林科技大學 === 資訊管理系碩士班 === 96 === This paper proposes an integrated classification method based on the rough set approach. We use the Cumulative Probability Distribution Approach (CPDA) to discrete the numberic data. From discretization result, use the k-means algorithm to cluster library borrow...
Main Authors: | Red-Lang Wang, 王瑞郎 |
---|---|
Other Authors: | Ching-Hsue Cheng |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/50543012924361488300 |
Similar Items
-
Financial Distress Prediction of K-means Clustering Based on Genetic Algorithm and Rough Set Theory
by: B.Z. Hou
Published: (2016-08-01) -
Rough k-means clustering using the information of cluster center displacement
by: Shih-Huang Tsai, et al.
Published: (2008) -
Extracting the rules of student achievements using Rough Set theory
by: Wei-Siang Liou, et al.
Published: (2009) -
CPDA based FRFE Method for Evaluating Student Grade
by: Ruei-fan Hsieh, et al.
Published: (2008) -
Extracting the rules of hemodialysis quality using a rough set classifier
by: Kai-Lun Chang, et al.
Published: (2010)