TY - JOUR T1 - Semiparametric Multinomial Logistic Regression Model to Classify‎ ‎Shape Data TT - رگرسیون لوژستیک چندجمله‌ای نیمه پارامتری برای رده‌بندی داده‌های شکل JF - JSS JO - JSS VL - 16 IS - 2 UR - http://jss.irstat.ir/article-1-817-en.html Y1 - 2023 SP - 449 EP - 468 KW - Logistic regresion KW - ‎S‎emiparametric regression KW - Shape data KW - ‎Classification N2 - This article introduces a semiparametric multinomial logistic regression model to classify labeled configurations. In the regression model, the explanatory variable is the kernel function obtained using the power-divergence criterion. Also, the response variable was categorical and showed the class of each configuration. This semiparametric regression model is introduced based on distances defined in the shape space, and for this reason, the correct classification of shapes using this method has been improved compared to previous methods. ‎The performance of this model has been investigated in the comprehensive simulation study‎. ‎Two real datasets were analyzed using this article's method as an application‎. ‎Finally‎, ‎the method presented in this article was compared with the techniques introduced in the literature‎, ‎which shows the proper performance of this method in classifying configurations‎. M3 10.52547/jss.16.2.449 ER -