IEEE

SS-DBSCAN: Semi-Supervised Density-Based Spatial Clustering of Applications With Noise for Meaningful Clustering in Diverse Density Data

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is an unsupervised clustering algorithm designed to identify clusters of various shapes and sizes in noisy datasets by ...
IEEE

Energy Efficient Cluster Head Selection Using Fish Swarm Optimization Algorithm (EECHS-FSOA) In Wireless Sensor Network (WSN)

Abstract: Wireless Sensor Network (WSN) with reliability and network lifetime plays a significant role. Cluster Head Selection (CHS) has made clustering more energy efficient, application is still ...