Suppose we find K clusters using Ward's method, bisecting K-means, and ordinary K-means. Which of these solutions

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Suppose we find K clusters using Ward's method, bisecting K-means, and ordinary K-means. Which of these solutions represents a local or global minimum? Explain.

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Introduction to Data Mining

ISBN: 978-0321321367

1st edition

Authors: Pang Ning Tan, Michael Steinbach, Vipin Kumar

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Question Posted: Apr 29, 2016 03:30 PM

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Suppose we find K clusters using Ward's method, bisecting K-means, and ordinary K-means. Which of these solutions

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Although Wards method picks a pair of clusters to merge based on minimizing SSE ther...View the full answer

Introduction to Data Mining

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