GSEC uses MLLM-generated semantic guidance and bi-layer ensemble learning to reduce bias and variance, outperforming 18 prior methods on six image clustering benchmarks.
Generalization perfor- mance of pure accuracy and its application in selective en- semble learning.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(2):1798–1816,
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Reducing Bias and Variance: Generative Semantic Guidance and Bi-Layer Ensemble for Image Clustering
GSEC uses MLLM-generated semantic guidance and bi-layer ensemble learning to reduce bias and variance, outperforming 18 prior methods on six image clustering benchmarks.