References
- Ahn, E. (2021). An analysis on the evolution of Korean apartment unit plans using deep learning. Journal of the Architectural Institute of Korea, 37(10), 13-22. https://doi.org/10.5659/JAIK.2021.37.10.13
- Ahn, J. K. (2014). Study on images of a city and surface design of public office buildings. Journal of Cultural Product & Design, 37(0), 81-90.
- Archisoup (2017). Understanding building yypology. Retrieved April 2, 2023 from https://www.archisoup.com/understanding-building-typology
- Arthur, D., & Vassilvitskii, S. (2007). K-means++: the advantages of careful seeding. In Proceedings of the eighteenth annual ACM-SIAM symposium on Discrete algorithms (SODA '07). Society for Industrial and Applied Mathematics, USA, 1027-1035.
- Buhrmester, V., Munch, D., & Arens, M. (2021). Analysis of explainers of black box deep neural networks for computer vision: A survey. Machine Learning and Knowledge Extraction, 3(4), 966-989. https://doi.org/10.3390/make3040048
- Cha, H. C., & Park, C. M. (2021). A study on the expressive technique of government office design considering locality - focused on "Winner of Architectural Competition" in Jeju-do -. Journal of the Architectural Institute of Korea, 37(7), 33-42. https://doi.org/10.5659/JAIK.2021.37.7.33
- Chaurasia, A. (2020). Exploring ResNets with W&B. Retrieved July 6, 2023 from https://wandb.ai/site/articles/exploring-resnets-with-w-b
- Choi, H. Y., Choi, Y. K., & Jeon, Y. H. (2014). A study on the publicness of atrium space in government office - focused on the evaluation of publicness and deduction of design elements -. Journal of the Korean Institute of Culture Architecture, 46, 93-100.
- Choi., Y. K., & Hyun, C. Y. (2011). A study on the evolution of the spatial organization appeared in local government buildings in Korea. Journal of the Korean Institute of Interior Design, 20(6), 36-43.
- Franck, K. A., & Schneekloth, L. H. (2012). Ordering Space: Types in Architecture and Design, Nanam,
- Gholamy, A., Kreinovich, V., & Kosheleva, O. (2018). Why 70/30 or 80/20 relation between training and testing sets: A pedagogical explanation. International Journal of Intelligent Technologies and Applied Statisticsl, 11(2).
- Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, G., Cai, J., & Chen, T. (2018). Recent advances in convolutional neural networks, Pattern Recognition, 77, 354-377. https://doi.org/10.1016/j.patcog.2017.10.013
- Guerin, J., Gibaru, O., Thiery, S., & Nyiri, E. (2018). CNN features are also great at unsupervised classification. Ithaca: Cornell University Library, arXiv.org.
- Hong, S. J., & Lee, Y. S. (2022). Typification of irregular shaped land parcels using machine learning. Journal of the Architectural Institute of Korea, 38(3), 189-198. https://doi.org/10.5659/JAIK.2022.38.3.189
- Hyun, C., & Lee, J. (2020). A study on the characteristic of spatial structure of government buildings by types. Journal of the Korea Institute of the Spatial Design, 15(7), 319-328.
- Hyun, C. Y., & Choi., Y. K. (2021). A chronological analysis of spatial structure in Korean government buildings through space syntax. KIEAE Journal, 21(2), 103-112. https://doi.org/10.12813/kieae.2021.21.2.103
- Irani, J., Pise, N., & Phatak, M. (2016). Clustering techniques and the similarity measures used in clustering: A survey. International Journal of Computer Applications. 134. 9-14. https://doi.org/10.5120/ijca2016907841
- Jeffares, A. (2019). K-means: A complete introduction. Towards Data Science. Retrieved July 6, 2023 from https://towardsdatascience.com/k-means-a-complete-introduction-1702af9cd8c
- Kang, E. J., & Choi, S. H. (2014). A study on the planning characteristics & improvement of citizen cultural space in public building in terms of cultural administration - focused on the cases since 2000's -. Korean Institute of Interior Design Journal, 23(2), 174-181. https://doi.org/10.14774/JKIID.2014.23.2.174
- Kang, M. S., Jung, Y. G., & Jang, D. H. (2017). A study on the search of optimal aquaculture farm condition based on machine learning. The Journal of the Institute of Internet, Broadcasting and Communication, 17(2), 135-140. https://doi.org/10.7236/JIIBC.2017.17.2.135
- Kim, C. S., Dong, J. U., & Lee, H. R. (2013). Design criteria for effective public building construction process. Journal of The Korean Digital Architecture Interior Association, 13(1), 43-53.
- Kim, J. H. (1997). A study on the composition of facade in the small commercial buildings, Journal of the Korean Institute of Interior Design, (13), 181-186.
- Kim, J. M., & Kim, D. J. (2014). Typology as form generating process in contemporary architecture. Journal of the Korean Institute of Interior Design, 23(5), 3-13.
- Kwon, N. Y., Kwon, E., & Jung, S. (2020). A study on the classification of theft using k-modes clustering - focused on correlation between land use and types of theft -. Journal of the Architectural Institute of Korea, 36(8), 81-90. https://doi.org/10.5659/JAIK.2020.36.8.81
- Lee, H. (2022). Post-authoritarian design of public offices - focused on the plaza and facade of metropolitan city halls that emerged after local autonomy -. Journal of the Architectural Institute of Korea, 38(7), 127-138. https://doi.org/10.5659/JAIK.2022.38.7.127
- Oh, J. H., Kim, H. G., & Kim, S. S. (2021). Development of representative envelope types in existing public building for green remodeling. Journal of the Architectural Institute of Korea, 37(12), 277-284. https://doi.org/10.5659/JAIK.2021.37.12.277
- Pan, S. J., & Yang, Q. (2010). A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359. https://doi.org/10.1109/TKDE.2009.191
- Ryu, H. (2019). A case study on space design characteristics of public buildings in Korea - focusing on citizen cultural space -. Journal of the Korea Institute of the Spatial Design, 14(1), 93-104. https://doi.org/10.35216/kisd.2019.14.1.93
- Shorten, C., & Khoshgoftaar, T.M. (2019). A survey on image data augmentation for deep learning. Journal of Big Data, 6, 1-48. https://doi.org/10.1186/s40537-018-0162-3
- Wani, M. A., Bhat, F. A., Afzal, S., & Khan, A. I. (2020). Basics of supervised deep learning. Advances in Deep Learning, Studies in Big Data, vol 57. Springer, 13-29 https://doi.org/10.1007/978-981-13-6794-6_2
- Yoshimura, Y., Cai, B., Wang, Z., & Ratti, C. (2019). Deep learning architect: classification for architectural design through the eye of artificial intelligence. Computers in Urban Planning and Urban Management for Smart Cities, CUPUM 2019, 249-265
- Youm, C. H., & Lim, H. S. (2010). Establishment of architectural process design guideline for public office buildings, auri, 2010(2), 1-252.