An Efficient K-means Algorithm: Generating Clusters Dynamically in MapReduce Framework
Background: K-Means is a popular partition-based clustering technique that divides an input dataset into a collection of groups. K-Means is a popular technique because of its simplicity and quickness in grouping large amounts of data. Because of the massive quantity
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