The implementation of the DBSCAN algorithm is supported in RapidMinerthrough the DBSCAN modeling operator. The DBSCAN operator accepts numeric and polynominal data set with provisions for user-specified ε (epsilon) and MinPoints parameters.
Hierarchical clustering: Hierarchical clustering is a process where a cluster hierarchy is created based on the distance between data points.The output of a hierarchal clustering is a dendrogam: a tree diagram that shows different clusters at any point of precision which is specified by the user.
The implementation of the DBSCAN algorithm is supported in RapidMinerthrough the DBSCAN modeling operator. The DBSCAN operator accepts numeric and polynominal data set with provisions for user-specified ε (epsilon) and MinPoints parameters.
Hierarchical clustering: Hierarchical clustering is a process where a cluster hierarchy is created based on the distance between data points.The output of a hierarchal clustering is a dendrogam: a tree diagram that shows different clusters at any point of precision which is specified by the user.