Given the following eight points point 1 point 2 point 3 point 4 point 5 point 6 point 7 point 8 (4,1) (7,6) (6,2) (2,4) (5,3) (1,7) (8,5) (3,8) cluster them using the k-means algorithm (all distances are Euclidean) until convergence, i.e. until there is no change in clusters. Assume the parameter k = 3 and the initial cluster centroids are point 1, point 2, and point 3. What is the resulting clustering? O a. {1, 2, 4), (5, 6, 8}, {3,7} O b. {1, 4), (6, 8), (2, 3, 5, 7} O c. none of the proposed answers O d. {4}, {1, 6, 8}, {2, 3, 5, 7} O e. {1}, {4, 6}, {2, 3, 5, 7, 8) O f. {1, 4, 6), (3, 8), (2, 5, 7)

Given the following eight points point 1 point 2 point 3 point 4 point 5 point 6 point 7 point 8 (4,1) (7,6) (6,2) (2,4) (5,3) (1,7) (8,5) (3,8) cluster them using the k-means algorithm (all distances are Euclidean) until convergence, i.e. until there is no change in clusters. Assume the parameter k = 3 and the initial cluster centroids are point 1, point 2, and point 3. What is the resulting clustering? O a. {1, 2, 4), (5, 6, 8}, {3,7} O b. {1, 4), (6, 8), (2, 3, 5, 7} O c. none of the proposed answers O d. {4}, {1, 6, 8}, {2, 3, 5, 7} O e. {1}, {4, 6}, {2, 3, 5, 7, 8) O f. {1, 4, 6), (3, 8), (2, 5, 7)

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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