复杂对象聚类的进化技术

2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD) Pub Date : 2017-10-01 DOI:10.1109/APUAVD.2017.8308827

V. Snytyuk, O. Suprun

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引用次数: 7

摘要

本文介绍了基于特征值的对象聚类演化技术。遗传算法和进化策略元素，在它们的基础上，允许以最小的初始数据约束来解决聚类问题。最后给出了实验结果，证明了所提方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolutionary techniques for complex objects clustering

The article presents the evolution technologies for clustering objects, specified by their characteristics values. The genetic algorithms and evolution strategies elements, underlying them, allow to solve clustering problems with minimal constraints on the initial data. The experiments results are given, which proof the effectiveness of the proposed methods.

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2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)

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