… In the improved algorithm discussed in this paper a new method is used to find a weighted
average score of dataset. Here we use an uniform method to find rank score by averaging the …

… an algorithm called weighted clustering algorithm (… weight of the corresponding parameter
can be made larger. The flexibility of changing the weight factors helps us apply our algorithm …

… In this paper, we propose a weighted clustering algorithm (WCA) which takes into consider…
We try to keep the number of nodes in a cluster around a pre-defined threshold to facilitate the …

… cluster structure as much as possible. In this paper, we propose a clustering algorithm,
namely a distributed weighted … a distributed clustering algorithm which is based on the weight …

… This paper proposes the new method of fuzzy time series forecasting based on the
approach of fuzzy clustering and information granules integrated with the weighted average …

… to all clustering algorithms: the number of clusters k to be … find weighted multidimensional
clusters, where the unit weight gets … respective dispersion of data within each cluster. One way …

… number of clusters. The bands in each cluster are fused together applying the weighted
average fusion … It is due to the use of EM clustering algorithm for band partitioning and weighted …

… Ordered weighted average (OWA) operator provides a … a clustering-based approach for
OWA weight generalization. This generalization is made using the DBSCAN algorithm as the …

… Clearly, our weighting scheme may be fit to many clustering algorithms: We have experienced
… this paper that there exists a clustering algorithm whose weighting scheme outperforms all …

… weight based clustering algorithm, namely enhanced weighted clustering algorithm (EWCA)…
To solve this problem, we propose an improved weight-based clustering algorithm EWCA …