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Data Clustering Techniques Explained by VijayKumar Lokanadam is a document available to read on EtoBox.
What is Data Clustering Techniques Explained about?
- The document describes the k-means clustering algorithm which groups together data points into k clusters. - It involves randomly selecting k data points as initial cluster centers, assigning each remaining point to the closest center, then recalculating the centers as the means of the points in each cluster. - This process repeats iteratively until the cluster centers stabilize and no longer change with additional iterations.
- Author
- VijayKumar Lokanadam
- Language
- EN