4 papers
Improving PSO Global Method for Feature Selection According to Iterations Global Search and Chaotic Theory
Shahin Pourbahrami
Making a simple model by choosing a limited number of features with the purpose of reducing the computational complexity of the algorithms involved in classification is one of the…
NCARD: Improving Neighborhood Construction by Apollonius Region Algorithm based on Density
Shahin Pourbahrami, Leyli Mohammad Khanli, Sohrab Azimpour
Due to the increased rate of information in the present era, local identification of similar and related data points by using neighborhood construction algorithms is highly signifi…
A Survey of Neighbourhood Construction Models for Categorizing Data Points
Shahin Pourbahrami, Leyli Mohammad Khanli
Finding neighbourhood structures is very useful in extracting valuable relationships among data samples. This paper presents a survey of recent neighbourhood construction algorithm…
A Novel and Efficient Data Point Neighborhood Construction Algorithm based on Apollonius Circle
Shahin Pourbahrami, Leyli Mohammad Khanli, Sohrab Azimpour
Neighborhood construction models are important in finding connection among the data points, which helps demonstrate interrelations among the information. Hence, employing a new app…