野蛮
发表于 2025-3-23 09:56:48
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Aggressive
发表于 2025-3-23 15:46:50
Evaluation Research and Fundamental Researchrdingly, data clustering has an increasing interest in various applications involving health, humanities, and industry. Assessing the goodness of clustering has been widely debated across the history of clustering analysis, which led to the emergence of abundant clustering evaluation measures. The a
织物
发表于 2025-3-23 19:24:17
https://doi.org/10.1007/978-3-642-82539-2ation algorithms is the Grey Wolf Optimizer (GWO). In this chapter, we use GWO on seven medical data sets to optimize the initial clustering centroids represented by the individuals of each population at each iteration. The aim is to minimize the distances between instances of the same cluster to pr
MIME
发表于 2025-3-24 01:48:46
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GROSS
发表于 2025-3-24 04:22:06
https://doi.org/10.1007/978-3-531-93197-5sts. However, no standard method has been established yet to obtain optimal solutions for all standard problems. In this research, we propose a two-phase approach: An improved k-Means algorithm for the clustering phase and a hybrid meta-heuristic based on Adaptive Particle Swarm—PSO and Grey Wolf Op
有危险
发表于 2025-3-24 07:48:12
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门窗的侧柱
发表于 2025-3-24 12:29:28
Studienbücher zur Sozialwissenschaftblems. HHO algorithm processes a population of search space with two operations: Soft besiege and Hard besiege. One of main problems in the use of population-based algorithms is premature convergence. A premature stagnation of the search creates a shortage of diversity, which affects the relationshi
捕鲸鱼叉
发表于 2025-3-24 15:00:28
https://doi.org/10.1057/9780230615489milarity/dissimilarity between these instances. This process is called unsupervised learning. Detecting the data structure is not an easy task, especially if there are no previous assumptions to guide the clustering process. Multi-objective evolutionary algorithms have been used as alternative solut
提升
发表于 2025-3-24 19:25:25
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事与愿违
发表于 2025-3-25 01:38:19
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