April 29, 2024
Elham Naghashzargar

Elham Naghashzargar

Academic rank: Assistant professor
Address: bonab- university of bonab
Education: Ph.D in Textile Engineering
Phone: 04137745000
Faculty: Faculty of Engineering
Department: Textile Engineering

Research

Title
Classification of ring-spun yarns using cluster analysis
Type Article
Keywords
Clustering validation, Model-based clustering, Ring-spun yarn Statistical analysis
Researchers Elham Naghashzargar، Haleh Nekoee

Abstract

The aim of this study is to classify ring-spun yarns according to their unevenness, imperfections, and hairiness parameters using cluster analysis. The mentioned features of ring-spun yarns are measured for five different ranks. Five ranks of ring-spun yarns including compact and conventional as well as combed and carded types are chosen and produced. In the modeling section, the model-based clustering method was applied as a strong method based on the distribution of each variable. In order to select the best fit and to find out the final clustering, bayesian information criterion (BIC) is applied. According to the results of modeling, five ranks of selected ring-spun yarns are classified in four clusters and the acceptable agreement is measured according to Cohen’s kappa method. The highest value for Kappa represents a high agreement to match between the clustering result and the real rank.