
Review the table labeled Figure 1: Dataset which has seven samples and two attributes (X and Y) per sample. You decided to cluster the table data into two clusters using K-mean clustering. Initially, point \( x 1 \) is chosen as Centroid 1 and point \( x 3 \) is chosen as Centroid2. Using Euclidean distance measure, what will be the final clustering sets and \( X \) and \( Y \) values of the Centroids after the K-mean clustering algorithm terminates? Cluster 1: \( (\mathrm{x} 1, \mathrm{x} 4, \mathrm{x} 6, \mathrm{x} 7) \) with Centroid \( =(1.75,2) \), Cluster \( 2:(\times 2, \times 3, \times 5) \) with Centroid \( =(6.33,7) \) Cluster 1: \( (x 1, x 4, x 6, x 7) \) with Centroid \( =(2,1.75) \), Cluster \( 2:(x 2, x 3, x 5) \) with Centroid \( =(7,6.33) \) Cluster 1: \( (\mathrm{x} 1, \mathrm{x} 4, \mathrm{x} 6, \mathrm{x} 7) \) with Centroid \( =(2,1.75) \), Cluster \( 2:(\mathrm{x} 2, \mathrm{x} 3, \mathrm{x} 5) \) with Centroid \( =(6.33,7) \) Cluster 1: \( (\times 1, x 2, x 4, \times 6, x 7) \) with Centroid \( =(2,1.75) \), Cluster \( 2:(\times 3, \times 5) \) with Centroid \( =(6.33,7) \)