show that improved K-means algorithm produces accurate clusters in less computation time to find the donors information. Keywords. Clustering means
But k-means clustering algorithm selects initial centroids enhance the efficiency and accuracy of K-means clustering algorithms.
Accuracy of Clustering using Centroid Identification Based on. Compactness Factor The k-means clustering also converges very quickly when it.
K-means is a very well-known clustering algorithm for its nature Keywords: K-means Algorithm Linear data structure
8) accuracy of 60.5 percent and 56.2 percent and Nave Bayes accuracy of. 65.8% and 68.7% [18]. Employee performance data from the Kenya School of Government's
23 mars 2021 Based on the clustering using K-means the highest accuracy rate is 78.42% in the 3-cluster model and the smallest accuracy rate is 16.60% ...
eliminate the dependence on the initial cluster and the accuracy of clustering is improved. Keywords. Data mining; K mean algorithm; density;
Using. WEKA data mining tool we have calculated the performance of k-means and hierarchical clustering algorithm on the basis of accuracy and running time.
Then the result of K-Means clustering is compared with its manual value to get its accuracy value. The study yielded accuracy on the overall data analysis
11 mars 2022 In this paper the neural-processor-based k-means clustering technique ... (KNN) and k-means clustering for predicting diagnostic accuracy.