Clustering is an unsupervised learning method that is used to group similar objects. One of the most popular and efficient clustering methods is K-means, as it has linear time complexity and is simple to implement. However, it suffers from gets trapped in local optima. Therefore, many methods have been produced by hybridizing K-means and other methods. In this paper, we propose a hybrid method ...

This paper shows that one can be competitive with the kmeans objective while operating online. In this model, the algorithm receives vectors v1, . . . , vn one by one in an arbitrary order. For each vector vt the algorithm outputs a cluster identifier before receiving vt+1. Our online algorithm generates Õ(k) clusters whose k-means cost is Õ(W ∗) where W ∗ is the optimal k-means cost using k cl...

Low side lobe levels and asymmetrical multiple nulls in specified directions need to be achieved for increasing the efficiency of antenna arrays used in communication systems. Nature inspired algorithms like Invasive Weed Optimization (IWO) algorithm may be applied for synthesis of linear antenna arrays to estimate the element phase excitations for achieving nulls in undesired directions. Sever...