Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

Clustering

  • Partition data set into clusters based on similarity, and store cluster representation (e.g., centroid and diameter) only
  • Can be very effective if data is clustered but not if data is “smeared”
  • Can have hierarchical clustering and be stored in multi-dimensional index tree structures
  • There are many choices of clustering definitions and clustering algorithms
  • Cluster analysis will be studied in depth in Chapter 10

Speaker notes:

Content Tools

Sources

There are currently no sources for this slide.