Neuroscience and gaming are among the most rapidly increasing research areas. Today,
researchers look for a way to develop a serious game, which would improve some chosen …

The k-means algorithm aims at minimizing the variance within clusters without considering
the balance of cluster sizes. Balanced k-means defines the partition as a pairing problem …

Three compounds with octahedral–tetrahedral Co (II) moieties of [Co (dppm O, O) 3][CoX4]
type, where X= SCN (1), Cl (2), or I (4) have been synthesized and characterized by the X …

Clustering is one of the essential tools for data mining since it reveals the natural structures
of the unlabeled data. Many clustering algorithms have been proposed in the last decades …

In this paper we combine the k-means and/or k-means type algorithms with a hill climbing
algorithm in stages to solve the joint stratification and sample allocation problem. This is a …

This paper deals with parallelization of the Quine-McCluskey algorithm. This algorithm is a
method used for minimization of boolean functions. The algorithm has a limitation when …

The k-means algorithm aims at minimizing the variance within clusters without considering
the balance of cluster sizes. Balanced k-means defines the partition as a pairing problem …

بخشبندی تصویر چهره یک مولفهی ضروری در کاربردهای پردازش تصویر و بینایی کامپیوتر
نظیر شناسایی چهره، شناسایی هویت و آنالیز جراحی پلاستیک چهره است. یکی از مهمترین روشهای …‎

Facial image segmentation is an essential component in applications of image processing
and computer vision such as face recognition, identity recognition and analysis of facial …

Clustering is one of the essential tools for data mining since it reveals the natural structures
of the unlabeled data. Many clustering algorithms have been proposed in the last decades …