Business, Management and Accounting
4 years ago

Dynamic K-Means Algorithm Boosts Accuracy and Efficiency in Data Clustering.

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International Journal of Advanced Research in Big Data Management System
Improved K-Means Clustering Algorithm Based on Dynamic Clustering
Liguo Zheng

Paper Summary

Cluster analysis helps find valuable patterns in data. The K-means algorithm is a popular method for this. Researchers improved the algorithm by considering changing data and reducing unnecessary information. This led to more accurate and faster clustering, especially with large datasets.

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