Evaluation of class decomposition based on clustering validity and k-means algorithm

Ensembling validation indices to estimate the optimal number of clusters

B Sowan, TP Hong, A Al-Qerem, M Alauthman… - Applied …, 2023 - Springer
In unsupervised learning tasks, one of the most significant and challenging aspects is how to
estimate the optimal number of clusters (NC) for a particular set of data. Identifying NC in a …
被引用次数：8 相关文章 所有 4 个版本

Diversified Critical-Scenario-Search for Defect Detection of Autonomous Driving System

Y Xie, Y Zhang, C Yin, H Huang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Scenario-based test is recognized as an effective way to evaluate and verify the Safety of the
Intended Functionality (SOTIF) of an autonomous driving system, and a critical-scenario is …
相关文章
[PDF] arxiv.org

Learning Classifiers for Imbalanced and Overlapping Data

S Shivganesh, P Murali - arXiv preprint arXiv:2210.12446, 2022 - arxiv.org
This study is about inducing classifiers using data that is imbalanced, with a minority class
being under-represented in relation to the majority classes. The first section of this research …
相关文章 所有 2 个版本