Adaptive K Near Neighbor Clustering Algorithm for Data with Non-spherical-shape Distribution
Yan Zhang · Jisuanji gongcheng · 2003
To the shortage of traditional clustering algorithm when dealing dat a with non-spherical-shape distribution, a novel adaptive K near neighbor cluste ring algorithm is presented in this paper. This algorithm is made up of three pa rts: (a)uniform for data; (b) constitution of initial patterns; (c)fusion of in itial patterns. The simulation results show that this algorithm has good cluster ing performance for data with non-spherical-shape distribution without knowing t he number of clustering.