CHAPTER
9
Clustering
Clustering is an unsupervised data mining technique. You can use the clustering algorithms to find groupings of data that are more related to each other (a cluster) and less related to other groupings (other clusters). Examples of when the clustering data mining technique is used include customer segmentation, marketing, insurance claims analysis, outlier detection, image pattern recognition, biology, security, and more.
What Is Clustering?
Clustering is a process of dividing the data into smaller related subsets. Each of these subsets is called a cluster. For each cluster, the data in the cluster are very similar to each ...
Get Predictive Analytics Using Oracle Data Miner now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.