PPT Slide

　Clustering with numerical data

Clustering on numerical data is generally easier than that on categorical data since distance measures and

many quantities are already well defined on feature vectors, e.g.:

- Euclidean distance

- Quantities such as averages, correlation,

centroids, etc.

In statistics, clustering techniques are mainly

that of numerical items

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