The triumphant utilization of data mining in extremely evident areas like trade, commerce,
and e-business has directed to its application in another industry. The medical conditions …

Medical Internet of Things are generating a big volume of data to enable smart medicine that
tries to offer computer-aided medical and healthcare services with artificial intelligence …

Among the inherited blood disorders in Southeast Asia, thalassemia is the most prevalent.
Thalassemias are pathologies that derive from genetic defects of the globin genes …

Abstract Undoubtedly, Fuzzy C-means (FCM) is considered as one of the most successful
clustering algorithms since last two decades. It has been extensively used for solving many …

Nowadays, Kernel-based clustering methods have gained popularity over the widely used
Euclidean distance-based methods in the area of image segmentation. Kernel-based …

Routine sequencing techniques used in cancer diagnosis have primarily focused on bulk
tissue genomic analysis. However, cell heterogeneity is a commonly observed phenomenon …

Big data has become a trend in our world today. The rise in data production rate, which has
as consequence the increase in data quantity, comes with many important challenges, one …

Present studies, development of genomic technologies are highly concentrated on galactic
scale gene data. In Bioinformatics community, the sizable volume of gene data investigation …

This paper aims to present optimal clustering techniques for analyzing high-dimensional
cancer databases with missing attributes and overlapped objects. Analyzing the high …