I am working on improve the cluster efficiency by reducing the number of clusters and centers. Can you please suggest the best technique/algorithm for mixed type IoT large data.
maybe the affinity propagation and dbscan methods can help you, since you don´t need to pre-define the number of clusters. Based on their respective parameters, those methods calculate the "optimal" number of clusters.