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This paper introduces a new constrained hierarchical agglomerative algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed contiguity-constrained agglomerative hierarchical algorithm in the case of medical image segmentation.
Optimization is used in diverse areas of science, technology, and business. Metaheuristics are one of the common approaches for solving optimization problems. In this paper, we propose a novel and functional metaheuristic Fisherman Search Procedure (FSP), to solve global optimization problems, which explores new solutions using a combination of guided and local search. We evaluate the performance...
Traditional clustering methods do not take into account any relations possibly present in data. This paper introduces a contiguity-constrained algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed method in the case of medical image segmentation.
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