Manually implement K-Mean The dataset contains 10 2-d points (5.9, 3.0), (4.6, 3.0), (6.2, 2.8), (4.7, 3.2), (5.5, 4.2),

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

Manually implement K-Mean The dataset contains 10 2-d points (5.9, 3.0), (4.6, 3.0), (6.2, 2.8), (4.7, 3.2), (5.5, 4.2),

Post by answerhappygod »

Manually Implement K Mean The Dataset Contains 10 2 D Points 5 9 3 0 4 6 3 0 6 2 2 8 4 7 3 2 5 5 4 2 1
Manually Implement K Mean The Dataset Contains 10 2 D Points 5 9 3 0 4 6 3 0 6 2 2 8 4 7 3 2 5 5 4 2 1 (54.46 KiB) Viewed 101 times
Manually implement K-Mean The dataset contains 10 2-d points (5.9, 3.0), (4.6, 3.0), (6.2, 2.8), (4.7, 3.2), (5.5, 4.2), (5.0, 3.0), (4.9, 3.1), (6.7, 3.0), (5.2, 3.8), (6.0, 3.0) Assume K=3, the initial means are Red: (6.2, 3.2) Green: (6.6, 3.7) Blue: (6.5, 3.0) 1a. What is the center of the first cluster (red) after one iteration? 1b. What is the center of the second cluster(green) after two iteration? 1c. What is the center of the third cluster (blue) when the clustering converge?
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply