Customer Segmentation and Clustering Using SAS Enterprise Miner, Second Edition, 2nd Edition

Clustering and the Issue of Missing Data

 

9.1 Missing Data and How It Can Affect Clustering

9.2 Analysis of Missing Data Patterns

9.3 Effects of Missing Data on Clustering.

9.4 Methods of Missing Data Imputation

9.5 Obtaining Confidence Interval Estimates on Imputed Values

9.6 Using the SAS Enterprise Miner Imputation Node

9.7 References

9.1 Missing Data and How It Can Affect Clustering

When you begin to analyze data, it usually doesn’t take too long before you run into the problem of missing data. In just about all typical data sets there are usually missing values for at least one or several variables. In the world of CRM, either in business-to-business ...