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#5 Data Science, Epidemiology and Public Health
DataFramed
The Drawbacks of Kamean's Clustering
Cameans clustering is a way to divide up data into groups, so that each data point belongs to the group with the nearest mean value. Keven kim wants to know how to understand the drawbacks of kamean's clustering. dave robinson demonstrates how minimizing the sum of squared error does not necessarily yield the most natural clusters.
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