Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…Curvature features are extracted and segmented through adapted Ascending Hierarchical Clustering (AHC) and K-means algorithms suited to sequential road data. Our goal is to segment roads into homogeneous sub-sections that can subsequently be labeled based on the level or type of irregularity. …”
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Local Outlier Detection Method Based on Improved K-means by Yu ZHOU, Hao XIA, Xuezhen YUE, Peichong WANG

“…However, due to limitations of the K-means algorithm itself, its clustering performance is poor for datasets containing arbitrarily shaped clusters, affecting detection performance. …”
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