Subspace methods can be based on any of the above types of clustering algorithms, but they may be more complex and challenging to implement and interpret. Subspace methods identify clusters within ...

Clustering is one of the most powerful techniques that can arrange the system operation in associated manner to attend the network scalability, minimize energy consumption, and achieve prolonged ...

This probabilistic approach enables soft clustering assignments and captures cluster shapes through covariance matrices, providing uncertainty estimates in cluster assignments. Neural network ...

So, minimization of energy consumption to prolong the network life is an important issue ... In this paper, we propose a cluster head election algorithm using Type-2 Fuzzy Logic, by considering some ...