[PDF] A Modified Version of the K-Means Clustering Algorithm - CORE
Accuracy of final clustering result is mainly depends on correctness of the initial centroids, which are selected randomly This paper proposes a methodology which
[PDF] Comparison of K-means and Fuzzy C-means - ResearchGate
cluster analysis, fuzzy c-means, k-means, soft clustering, hard clustering compared for their computing performance and clustering accuracy on different
[PDF] Fast and Accurate k-means For Large Datasets
Clustering is a popular problem with many applications We consider the k- means problem in the situation where the data is too large to be stored in main
[PDF] A Review ON K-means DATA Clustering APPROACH
Yufen Sun et al [76] has presented a general K-means clustering to identify natural clusters in datasets They have also shown high accuracy in their results
[PDF] An efficient method to improve the clustering performance for high
original k-means algorithm is very high in high dimensional data improving the accuracy and efficiency by reducing dimension and initialize the cluster for
[PDF] Modified K-Means Clustering Algorithm for Disease Prediction
makes the data suitable for analysis and prediction, accurate and less time consuming than previous work Keywords — K-means clustering, Euclidean distance,
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