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A set of lecture notes on data computation. It covers topics such as K-means problems, silhouette method, elbow method, and cluster analysis. The notes also discuss the use of dendrograms and hierarchical clustering. formulas and examples to illustrate the concepts. The notes are suitable for students studying data science or related fields.
Typology: Lecture notes
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