Discriminative K-means for Clustering

NeurIPS 2007 Jieping YeZheng ZhaoMingrui Wu

We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and clustering. Empirical results have shown its favorable performance in comparison with several other popular clustering algorithms... (read more)

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