Sub-One Quasi-Norm-Based k-Means Clustering Algorithm and Analyses
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11615-y
Abstract: Recognizing the pivotal role of choosing an appropriate distance metric in designing the clustering algorithm, our focus is on innovating the k-means method by redefining the distance metric in its distortion. In this study, we… read more here.
Keywords: usepackage; clustering algorithm; distance; quasi norm ... See more keywords
Three‐dimensional potential field data inversion with L0 quasinorm sparse constraints
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DOI: 10.1111/1365-2478.12591
Abstract: The quantitative explanation of the potential field data of 3-D geological structures remains one of the most challenging issues in modern geophysical inversion. Obtaining a stable solution that can simultaneously resolve complicated geological structures is… read more here.
Keywords: inversion; field; quasi norm; potential field ... See more keywords