Explaining the evolution of Iranian traditional house spaces based on distance measurement method of plan similarity vector

Analyzing the evolution of architectural plans has long been an issue of interest to all researchers and designers worldwide, so how to create and develop traditional architectural spaces has been examined many times by researchers. However, most of these studies have limitations in the number of plans, algorithms, or data analysis methods. Now the question arises as to what method and tools can be used to create a process to provide a more comprehensive evolution and classification of traditional architectural plans. Therefore the ultimate goal of the research is to investigate and present a new classification based on simultaneous processing of available data in these plans. Nevertheless, a distinct and combined research method has been used to achieve this goal, including quantitative, analytical, and historical methods. The research hypothesis is based on the fact that the purpose of the research can be achieved with the help of image processing algorithms and mathematical formulas and numerical data in the plan. Finally, the findings of this research show that it is possible to compare a large number of plans simultaneously by distance measurement method and using artificial intelligence and to extract a pattern from common and uncommon space dimensions.