Clustering of Many Attributes

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6.1 Closer to Reality of Customer Segmentation

6.2 Representing Many Attributes in Multi-dimensions

6.3 How Can I Better Understand My Customers of Many Attributes?

6.4 Data Assay and Profiling

6.5 Understanding What the Cluster Segmentation Found

6.6 Planning for Customer Attentiveness with Each Segment

6.7 Creating Cluster Segments on Very Large Data Sets

6.8 Additional Exercise

6.9 References

6.1 Closer to Reality of Customer Segmentation

Customer data sets often contain quite a few variables or fields that can be used to perform clustering. Data analysts that find themselves in this situation is a reality ...

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