AIS-Clus (Data Stream clustering)

AIS-Clus (Artificial Immune System for data stream Clustering) ^[1] is a density based algorithm which uses the strength of the Artificial Immune System to handle data stream challenges. AIS-Clus is an adaptive algorithm which based on the clonal selection theory to adapt clusters for the novel arriving textual streams and the negative selection process to detect novel concepts. This algorithm can effectively handle the multi-class detection in the streaming scenario.

References

1. A. Amal, J. Salma (2016). "Novelty Detection In Data Stream Clustering Using The Artificial Immune System" (PDF). Proceedings of the 13th European Mediterranean & Middle Eastern Conference on Information Systems (EMCIS).