Clustering results of evolutionary clustering algorithm star for clustering heterogeneous datasets
收藏Mendeley Data2024-03-27 更新2024-06-27 收录
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资源简介：
The data was collected from the written Java codes by the authors, and Weka packages for executing ECA* on 32 heterogenous and multi-featured datasets against its counterpart algorithms (KM, KM++, EM, LVQ, and GENCLUST++). Each of these algorithms was run thirty times on each of the 32 benchmarking dataset problems to evaluate the performance of ECA* against its competitve algorithms.
创建时间：
2024-01-23
