Clustering is the process of grouping objects that belong to a same class. Similar objects are grouped in one cluster & dissimilar objects are grouped in another cluster. Clustering methods can be classified into Partitioning Method, Hierarchical Method, Density-based Method, Grid- Based Method, Model-Based Method, and constraint-based Method. In this research, we propose a latest technique to implement learning capacity & decrease computational intensity of a competitive learning, multi-layered neural network using K-means clustering algorithm’s-mean clustering algorithm is a well known partitioning method.