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K-means clustering algorithm

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Reference no: EM133295268

Question

Suppose you have been building a model using the K-means clustering algorithm and you keep finding that a certain variable is essentially ignored by the model. In other words, the variable is very similarly distributed across all clusters. Describe a method that can be used to exaggerate or minimize the impact of a variable when using K-means clustering. Explain why the method works.

Reference no: EM133295268

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