Take k-means 2 and 5. The cost function J is substantially greater for k=5 than k=2. So, what can you say? The optimal number of clusters is 2. o b With k=2, k-means struck gold. Try running k-means with k=2 and other random initializations until it performs no better than with k=5. O. This run with k=5 got caught in a terrible local minimum. Try rerunning k-means with numerous random initializations. Od. It's mathematically impossible. There's a problem in the coding.
Take k-means 2 and 5. The cost function J is substantially greater for k=5 than k=2. So, what can you say? The optimal number of clusters is 2. o b With k=2, k-means struck gold. Try running k-means with k=2 and other random initializations until it performs no better than with k=5. O. This run with k=5 got caught in a terrible local minimum. Try rerunning k-means with numerous random initializations. Od. It's mathematically impossible. There's a problem in the coding.
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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Take k-means 2 and 5. The cost function J is substantially greater for k=5 than k=2. So, what can you say? The optimal number of clusters is 2. o b With k=2, k-means struck gold. Try running k-means with k=2 and other random initializations until it performs no better than with k=5. O. This run with k=5 got caught in a terrible local minimum. Try rerunning k-means with numerous random initializations. Od. It's mathematically impossible. There's a problem in the coding.
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