Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

In the field of data mining, clustering has shown to be an important technique. Numerous
clustering methods have been devised and put into practice, and most of them locate high …

It is crucial to determine the optimal number of clusters for the clustering quality in cluster
analysis. From the standpoint of sample geometry, two concepts, ie, the sample clustering …

Plant phenotyping is the quantitative description of a plant's physiological, biochemical, and
anatomical status which can be used in trait selection and helps to provide mechanisms to …

Clustering is a set of essential mathematical techniques in artificial intelligence and machine
learning for analyzing massive amounts of data generated by applications. Clustering uses …

Curricula for Computer Science (CS) degrees are characterized by the strong occupational
orientation of the discipline. In the BSc degree structure, with clearly separate CS core …

With rapid explosion of information, clustering emerged as an active research area for
knowledge discovery. Most of the existing clustering algorithms become ineffective when …

Fuzzy C-means (FCM) clustering algorithm is an important and popular clustering algorithm
which is utilized in various application domains such as pattern recognition, machine …

Although many divisive hierarchical clustering methods for processing categorical data have
been presented in the literature, none have been systematically or comprehensively …

Enhancing the effectiveness of clustering methods has always been of great interest.
Therefore, inspired by the success story of the gradient descent approach in supervised …