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Fuzzy Spectral Partition Ensemble Based on Occasion

机译:基于机动的模糊光谱分区合奏

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摘要

Clustering ensemble takes advantage of ensemble learning technique, combining multiple cluster members' results to get uniform and more reasonable clustering result. This paper integrates in the staged results of spectral partition ensemble algorithm orderly, applying the fuzzy C-means clustering algorithm in the following clustering stage of spectral partition ensemble, and presents four fuzzy spectral partition ensemble based on occasion. Compared with the existing graph partition ensemble algorithms, our algorithms do better in the clustering effectiveness and efficiency.
机译:群集合奏利用集合学习技术,结合多个集群成员的结果来获得统一和更合理的聚类结果。本文有序地集成在频谱分区集合算法的分阶段结果中,在频谱分区集群的以下聚类阶段应用于频谱分区集群阶段的模糊C型簇聚类算法,并施加四个基于四个模糊谱分区合奏。与现有的图形分区集合算法相比,我们的算法在聚类效果和效率方面做得更好。

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