Enhanced CABOSFV clustering algorithm based on adaptive threshold
Qin Zhu, Guoping Tu, Xuedong Gao, Sen Wu, Hua Chen · 2011
In the light of the sensitivity of the order of data input by CABOSFV clustering algorithm, to enhance performance of CABOSFV, this paper puts forward a novel algorithm to gain an adaptive its threshold on the line(APCABOSFV). In the end experiments on artificial l data sets show demonstrate that the accuracy of the proposed APCABOSFV algorithm outperforms existing CABOSFV clustering algorithm for clustering high-dimensional sparse data.