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Updated: Sep 11, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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神经网络集群,层次集群和k-means集群之间的比较:使用流体透镜的应用程序

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    Optics express
    |August 13, 2025
    PubMed
    概括

    本研究比较了神经网络集群 (NNC),层次集群 (HC) 和k-means集群 (KMC) 的大数据集组织. 结合HC和KMC方法提供了一个比单独NNC或HC更可靠的集群解决方案.

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    Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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