Paper
Clustering Accuracies on Concepts of Nursing
- Authors:
- Jui-Chiao Tseng
- Abstract
- The purpose of this study is to integrate fuzzy clustering algorithm based on common Mahalanobis distance. Fuzzy clustering could distinguish characteristics of concept structures on nursing. Finally, some limitations and suggestions of this study are discussed. It shows that knowledge structures will be feasible for remedial instruction and help students get more chance to get professional certification on nurses. Based on the findings and results, combined with fuzzy clustering algorithm based on normalized Mahalanobis distance could be very feasible for cognition diagnosis in the future.
- Keywords
- Fuzzy Clustering Algorithm; Nursing
- StartPage
- 133
- EndPage
- 140
- Doi
- 10.5963/PHF0203002