Regarding the high dimension of data, we used Graphical Clustering Toolkit software for clustering, which involved the use of correlation coefficients and internal similarity among clusters. The labeling results showed that images had 1104 distinct form features, including sloped, vertical and horizontal linear solids, and edges. We labeled all the images in AutoCAD software depending on form features. We proposed a clustering method by selecting 343 images of living rooms from residential places according to their history and interior design style. The main innovation of this study was to evaluate the architecture interior forms of real built places as a base for any analysis on form. This paper presents a methodology for categorizing interior forms of built places. A gap exists in scientific studies on categorizing different architecture interior forms according to design. Form or shape is one of the main aspects of architecture design.
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