Title :
A Clustering Method Based on the Most Similar Relation Diagram of Datasets
Author :
Yu, Yan ; Bai, Yu Shan ; Xu, Wei Hong ; Li, Nan
Author_Institution :
Coll. of Educ., Tianjin Normal Univ., Tianjin, China
Abstract :
In this paper we present a novel clustering analysis method based on the Most Similar Relation Diagram (MSRD). MSRD is a diagram in which each datum of a dataset is linked to its most similar data. By cutting off some links in the diagram a certain number of clusters are formed. A compare of the MSRD method with hierarchical method is implemented. Clustering experiences using MSRD were done and the results demonstrated the validity of the method.
Keywords :
data mining; pattern clustering; clustering analysis method; data mining; dataset datum; most similar relation diagram; Algorithm design and analysis; Animals; Clustering algorithms; Databases; Joining processes; Leg; Solids; clustering; data mining; most similar data (MSD); most similar relation diagram (MSRD);
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
DOI :
10.1109/GrC.2010.77
