apply k-means clustering to a dataset Task Consider the following set of two-dimensional records

apply k-means clustering to a dataset Task Consider the following set of two-dimensional records

1. apply k-means clustering to a dataset Task Consider the following set of two-dimensional records: RID Dimension 1 Dimensio

1. apply k-means clustering to a dataset Task Consider the following set of two-dimensional records: RID Dimension 1 Dimension2 1 00 8 4 5 4 N 3 2 4 4 6 N 5 2. 00 6 00 8 6 Use the k-means algorithm to cluster the data in the dataset with K=3. You can assume that the records with RIDS 1, 3, and 5 are used for the initial cluster centroids (means). You must include the intermediate results in each iteration of the algorithm, including distance calculation, placement of records in a cluster, and possible changes of centroids. Just showing the final clustering results will not be accepted.

 

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