Fuzzy Divergence Weighted Ensemble Clustering With Spectral Learning Based on Random Projections for Big Data
In many real-world applications, data are described by high-dimensional feature spaces, posing new challenges for current ensemble clustering methods. The goal is to combine sets of base clusters to enhance clustering accuracy, but this makes them susceptible to low quality. However, the reliability...
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| Format: | article |
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2024
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| Online Access: | https://hdl.handle.net/11073/26230 |
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