As an unsupervised learning method, clustering does not need to know prior knowledge of
the datasets in advance. How determining the optimal number of clusters becomes an …

Several Superpixel segmentation techniques have recently been developed. Superpixels
combine perceptually similar pixels to form visually significant entities, lowering the amount …

Clustering or grouping is among the most important image processing methods that aim to
split an image into different groups. Examining the literature, many clustering algorithms …

The present study is developed a new approach using a computer diagnostic method to
diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study …

Cluster analysis refers to the process of grouping a collection of physical or abstract objects
into multiple classes of similar objects. Determining the optimal classification number of a …

Abstract Hybrid Genetic Algorithm (GA)-Self organizing map (SOM) network is explored for
the first time in determination of regime of operation of heat transfer in porous medium …

Abstract Hybrid Genetic Algorithm (GA)-supervised Kohonen (SK) map is explored for the
decision support system in the operation of porous ceramic matrix (PCM)-based burners …

Object recognition in underwater images becomes a challenging task because of its poor
visibility conditions. Marine scientists often prefer automation tools for object recognition as …

Commodity recommendation plays an essential role in the marketing field in the Internet era,
and collaborative filtering, as a powerful technique of commodity recommendation, has been …

Recently, considerable attention has focused on enhancing the security and safety of
industries with high-risk level activities in order to protect the equipment and environment. In …