Membership regularized fuzzy clustering methods apply an important prior that neighboring
data points should possess similar memberships according to an affinity/similarity matrix. As …

The numbers of confirmed cases of new coronavirus (Covid-19) are increased daily in
different countries. To determine the policies and plans, the study of the relations between …

The low frequency oscillations have always been the main problem of power system and
can lead to power angle instability, limiting the maximum power to be transmitted on tie-lines …

Electric energy consumption forecasting is an interesting, challenging, and important issue
in energy management and equipment efficiency improvement. Existing approaches are …

In recent years, a significant boost in data availability for persistent data streams has been
observed. These data streams are continually evolving, with the clusters frequently forming …

The results of image classification problem solving using structural methods in computer
vision systems are presented. The technology for introducing fuzzy clustering on a set of …

As an important set of techniques for data mining, time series clustering methods had been
studied by many researchers. Although most existing solutions largely focus on univariate …

Control in HVAC (heating, ventilation and air-conditioning) systems of buildings is not trivial,
and its design is considered challenging due to the complexity in the analysis of the …

With the development of big data technology, creating the 'Digital Campus' is a hot issue. For
an increasing amount of data, traditional data mining algorithms are not suitable. The …

The performance of a partitional clustering algorithm is influenced by the initial random
choice of cluster centers. Different runs of the clustering algorithm on the same data set often …