ICAIS: A Novel Incremental Clustering Algorithm Based on Artificial Immune Systems

Abstract

Although many kinds of clustering algorithms are proposed, there has been much less work on the incremental clustering. Inspired by the artificial immune systems, the authors apply it to the incremental clustering, propose a novel incremental clustering algorithm called ICAIS. The algorithm mainly uses the mechanism of immune response of the adaptive immune system. The primary immune response corresponds to forming the new clusters. The secondary immune response corresponds to recognizing the data belonging to the existed clusters. The experiments show that ICAIS has advantages in recognizing new pattern, the effect is better.