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Updated: Sep 17, 2025

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

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对进化K-媒介集群性能进行基准测试的有效性指数

Abiodun M Ikotun1, Faustin Habyarimana1, Absalom E Ezugwu2

  • 1School of Mathematics, Statistics and Computer Science, University of KwaZulu- Natal, KwaZulu-Natal, Pietermaritzburg Campus, Durban, South Africa.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究评估了进化K-Means聚类的内部有效性指数. 卡林斯基-哈拉巴斯 (CH) 和Silhouette指数在自动集群任务中被证明是最有效的.

关键词:
自动集群自动集群.集群有效性指数是指集群有效性指数.集群算法集群算法集群算法集群算法进化中的k-平均值.K-意味着K的意思是K.进行元启发式优化优化.

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