원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.6 No.2
2013.04
pp.109-118
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Data clustering and analyzing techniques are studied by using hierarchical clustering method. A matrix of words is constructed with a randomly chosen RSS list. By collecting data from this list a matrix is built. In the matrix each row corresponds to a article and each column represents a word. Based on the matrix a hierarchical clustering algorithm is designed. In this algorithm the Pearson correlation coefficient is used to compute the distances among different contents. The dendrogram is used to describe the hierarchical relationship of contents and words. And the 2-D graph also is used to represent the dendrogram in another format.
목차
Abstract
1. Introduction
2. The data format
3. Hierarchical Clustering
4. Experiment
5. Conclusion
Acknowledgements
References
1. Introduction
2. The data format
3. Hierarchical Clustering
4. Experiment
5. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보