期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：12
页码：225-230
DOI：10.14257/ijhit.2015.8.12.16
出版社：SERSC
摘要：A framework of granular computing clustering algorithms is proposed in the paper. Firstly, granules are represented as the normal forms, such the diamond granule in 2- domensional space and hyperdiamond granule in N-dimensional space, sphere granule in 2-dimensional space and hypersphere granule in N-dimensional space. Secondly, operations between two granules are designed to realize the transformation between two spaces with different granularities. Thirdly, the threshold of granularity is used to control the join process between two granules. The performance of granular computing algorithms is evaluated by the experimental results on the data sets selected from machine learning repository.
