<![CDATA[Sustainable regional development requires appropriate mapping of regional typologies to help minimize socio-economic disparities. West Java Province was selected because its 27 regencies/cities exhibit diverse development characteristics and heterogeneous socio-economic conditions, necessitating regional clustering to identify patterns of development typology. This study aims to identify the development typology of regencies/cities in West Java Province in 2025 and compare the performance of two clustering methods, namely *Agglomerative Hierarchical Clustering* (AHC) and *K-Medoids Clustering*. The secondary data were obtained from the Central Statistics Agency (BPS) of West Java Province for 2025, comprising 27 regencies/cities and six development indicator variables. The data were standardized using the Z-score method and assessed for suitability through multicollinearity examination and the Kaiser-Meyer-Olkin (KMO) test (KMO = 0.8209) prior to clustering. The results showed that AHC with average linkage produced two optimal clusters consisting of 18 and 9 regencies/cities, with an agglomerative coefficient of 0.7659, while K-Medoids produced two clusters consisting of 17 and 10 regencies/cities. The Silhouette Coefficient evaluation indicated that AHC performed better, with a score of 0.404 compared to 0.3773 for K-Medoids. Therefore, AHC was selected as the best-performing clustering method. The resulting clustering is expected to serve as a reference for local governments in formulating more targeted development policies.]]>
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