What can you do with cluster analysis?
Cluster analysis can be a powerful data-mining tool for any organization that needs to identify discrete groups of customers, sales transactions, or other types of behaviors and things. For example, insurance providers use cluster analysis to detect fraudulent claims, and banks use it for credit scoring.
What are characteristics of a good cluster analysis?
Clusters should be stable. Clusters should correspond to connected areas in data space with high density. The areas in data space corresponding to clusters should have certain characteristics (such as being convex or linear). It should be possible to characterize the clusters using a small number of variables.
Which is the best method for clustering data?
Agglomerative clustering is a bottom-up method that begins where each data point begins in an initial cluster and then merges into other clusters as they move up the hierarchy. Divisive clustering is a top-down approach that begins with one initial cluster that is divided into groups as the data points move down the hierarchy.
What can cluster analysis do for your business?
As a retailer or supplier, you can use clustering to understand who your customer is and what drives their purchase decisions. This can help you to tailor your product offering and marketing strategies to your target market. With a retail environment, cluster analysis has many applications and benefits.
How is divisive clustering used in statistical analysis?
Divisive clustering is a top-down approach that begins with one initial cluster that is divided into groups as the data points move down the hierarchy. You can use different methods and variables to create clusters that are derived from data, reports, spreadsheets and speciality statistical analysis software.
What’s the difference between standardised and localised cluster analysis?
When implementing cluster analysis in business, it’s critical to understand the difference between standardisation and localisation. A standardised strategy focuses on a single-assortment, mass-market approach while a localised strategy focuses on a store-specific approach.