One of the main techniques used in data mining is data clustering, which has many applications in computer science, biology, and social sciences. Constrained clustering is a type of clustering in which side information provided by the user is incorporated into current clustering algorithms. One of the well researched constrained clustering algorithms is called microaggregation. In a microaggreg...

In this paper, the probabilistic version of intuitionistic fuzzy decision making methods is introduced to show duality present within distance. Here, two types methods, namely, TOPSIS (PI-TOPSIS) algorithm and face identification (PIFI) are proposed. The PI-TOPSIS utilizing distance as separation measure; for its justification rankings reduced information loss multi criteria problems compared. ...

The time complexity of data clustering has been viewed as fundamentally quadratic, slowing with the number of data items, as each item is compared for similarity to preceding items. Clustering of large data sets has been infeasible without resorting to probabilistic methods or to capping the number of clusters. Here we introduce MIMOSA, a novel class of algorithms which achieve linear-time comp...