In recent years, with the deterioration of the earth's ecological environment, the survival of
birds has been more threatened. To protect birds and the diversity of species on earth, it is …

Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been
extensively investigated and successfully implemented in image segmentation. FCM is …

Image segmentation is the method of dividing an image into many segments, comprising
groups of pixels. It is a process used to determine objects within the image. Fuzzy c-means …

The fuzzy C-means (FCM) clustering algorithm is a widely used unsupervised learning
method known for its ability to identify natural grou**s within datasets. While effective in …

Iris recognition is a type of biometrics technology that is based on physiological features of
the human body. The objective of this research is to recognize and identify iris among many …

In traditional financial performance evaluation models, parameter settings are often too large
or too small, resulting in significant model errors. To address this issue, an improved artificial …

Nowadays, in the medical world, analyzing and diagnosing acute brain stroke and its
location is a difficult process. In many hospitals, however, striking symptoms with the use of …

Multi-view data is widely employed in various domains, highlighting the need for advanced
clustering methodologies to efficiently extract knowledge from these datasets. Consequently …