<P>Clustering is the process of grouping together objects that are similar. The similarity between objects is evaluated by using a several types of dissimilarities (particularly, metrics and ...

Algorithm should stop the clustering process when all data points are placed in a single cluster. That is, the algorithm will perform n – 1 merging if there are n data points. Algorithm should also ...

Data mining is an important concept in data collection because it is used to evaluate a large amount of data, whether formal or informal, and starts with numerous goals, the first of which is to ...