Traditional clustering methods are rigid in that they require each object to belong exclusively to only one

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Traditional clustering methods are rigid in that they require each object to belong exclusively to only one cluster. Explain why this is a special case of fuzzy clustering. You may use k-means as an example.

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Data Mining Concepts And Techniques

ISBN: 9780128117613

4th Edition

Authors: Jiawei Han, Jian Pei, Hanghang Tong

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Question Posted: Jan 23, 2024 10:04 AM

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Traditional clustering methods are rigid in that they require each object to belong exclusively to only one

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Traditional clustering methods such as kmeans clustering operate under the rule that every data point must belong to a single cluster In other words t...View the full answer

Data Mining Concepts And Techniques

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