Fuzzy clustering plays an important role in pattern recognition and knowledge discovery.
Recently, there has been a great interest of developing fuzzy clustering algorithms on …

The dynamic customer segmentation (DCS) is a useful tool for managers in implementing
marketing strategies by observing dynamic changes that are happening in the customer …

Wind power has the characteristic of daily similarity. Furthermore, days with wind power
variation trends reflect similar meteorological phenomena. Therefore, wind power prediction …

Protein complexes are of great significance to provide valuable insights into the
mechanisms of biological processes of proteins. A variety of computational algorithms have …

Outliers significantly impact the reliability of the analyses informing the expert systems.
Depending on the context in which data is collected, the traditional approaches of …

The wind is gaining prominence as a renewable energy source as the climate change
burden worsens. One of the main components of wind is wind speed, which has many …

The strategies used by vendors to disseminate information about new construction site
technologies such as robotics, drones, and driverless excavators are important in their …

Cluster analysis is a useful statistical tool for data exploration. It can help to identify groups of
similar objects (eg countries) according to selected variables (eg economic indicators). The …

In this paper, we determine the suitable validity criterion of kernelized fuzzy C-means and
kernelized fuzzy C-means with spatial constraints for automatic segmentation of magnetic …

Owing to the advancements in information and telecommunication technologies, mobile
location-based services are able to use previously collected mobile check-in data. This multi …