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Lec 68 by sujalthakur441 is a document available to read on EtoBox.
The CURE algorithm is designed for clustering large datasets by sampling a significant fraction of the data and identifying representative points for each cluster. It involves an iterative process of clustering, finding boundary points, and shrinking them towards the centroid to mitigate the influence of outliers. CURE allows for the handling of non-convex clusters and can be executed in parallel across multiple processors, making it efficient for large-scale data analysis.
- Author
- sujalthakur441
- Language
- EN