Question
Perform partitional clustering using Frogy's method for the data given in the table below with k-2 (two clusters). Use first two sample points (3,3) and (6,8) as seed points.
| S. No | X | Y |
| 1 | 3 | 3 |
| 2 | 6 | 8 |
| 3 | 10 | 10 |
| 4 | 4 | 4 |
| 5 | 6 | 6 |
| 6 | 14 | 12 |
| 7 | 20 | 18 |
| 8 | 22 | 20 |
Answer :
Word Count : 360
We have k = 2 clusters with initial seed points (3,3) for Cluster 1 (C1) and (6,8) for Cluster 2 (C2). Step 1: Calculate distances and assign clusters Using Euclidean distance formula $d = \sqrt{(x_2-x_1)^2 + (y_2-y_1)^2}$: | Point | C1 (3,3) | C2 (6,8) | Assigned | | ------- | -------------------------------------- | -------------------------------------- | -------- | | (3,3) | 0 | √\[(3-6)²+(3-8)²] = √(9+25)=5.83 | C1 | | (6,8) | √\[(6-3)²+(8-3)²] ________ ________ _____ _______ ______ ________ _____ ______ _____ _____.
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We have k = 2 clusters with initial seed points (3,3) for Cluster 1 (C1) and (6,8) for Cluster 2 (C2). Step 1: Calculate distances and assign clusters Using Euclidean distance formula $d = \sqrt{(x_2-x_1)^2 + (y_2-y_1)^2}$: | Point | C1 (3,3) | C2 (6,8) | Assigned | | ------- | -------------------------------------- | -------------------------------------- | -------- | | (3,3) | 0 | √\[(3-6)²+(3-8)²] = √(9+25)=5.83 | C1 | | (6,8) | √\[(6-3)²+(8-3)²] ________ ________ _____ _______ ______ ________ _____ ______ _____ _____.
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