Data Mining - Clustering (Function|Model)
Table of Contents
1 - About
To identify natural groupings in the data.
Useful for exploring data and finding natural groupings within the data.
Members of a cluster are more like each other than they are like members of a different cluster.
The process of clustering is really a process of choosing a good partition of the data.
2 - Articles Related
3 - Algorithm
4 - Type
4.1 - Function
Finds natural groupings in the data
4.2 - Model
The model defines segments, or “clusters” of a population, then decides the likely cluster membership of each new case.
5 - Example
- A model might identify the segment of the population that has an income within a specified range, that has a good driving record, and that leases a new car on a yearly basis.
- Segment demographic data into clusters and rank the probability that an individual will belong to a given cluster
- Common examples include finding new customer segments, and life sciences discovery.