A hybrid clustering algorithm

The Educational Efficiency Evaluation Framework: By Using DEA Model and CA Method

“…Clustering is a popular non-directed learning data mining technique for partitioning a dataset into a useful set of mutually exclusive clusters such that the similarity between the observations within each cluster is high, while the similarity between the observations from the different clusters is low [21]. There are different reasons for doing clustering, and one of them is to find a set of natural groups (i.e., segmentation), and the corresponding description of each group.…”

Towards supporting expert evaluation of clustering results using a data mining process model

“…[7,9,10,15,20,22,26,33,34,41,48,51,52,57,58,60]) that attempts to partition a dataset into a meaningful set of mutually exclusive clusters (or groups or segments). There are different reasons for doing clustering, two major categories of which are:…”