Validating cluster structures in data mining tasks
Constraints can be specified by the user or the application requirement.
Data mining functionalities are used to specify the kind of patterns to be found in data mining tasks.
It reflects spatial distribution of the data points.
This method also provides a way to automatically determine the number of clusters based on standard statistics, taking outlier or noise into account. In this method, the clustering is performed by the incorporation of user or application-oriented constraints.
In this, we start with all of the objects in the same cluster.
In other words, similar objects are grouped in one cluster and dissimilar objects are grouped in another cluster.It keep on doing so until all of the groups are merged into one or until the termination condition holds.