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Localized Multiple Kernel k-Means Clustering
This project forked from mehmetgonen/lmkkmeans
Localized Multiple Kernel k-Means Clustering
This package contains Matlab implementations of the clustering algorithms in "Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology", which is appearing in NIPS 2014. demo_kernel_kmeans.m file shows how to use the kernel k-means clustering algorithm. demo_multiple_kernel_kmeans.m file shows how to use the multiple kernel k-means clustering algorithm. demo_localized_multiple_kernel_kmeans.m file shows how to use the localized multiple kernel k-means clustering algorithm. clustering methods ------------------ * kkmeans_train.m => training procedure for kernel k-means * mkkmeans_train.m => training procedure for multiple kernel k-means (requries Mosek optimization software) * lmkkmeans_train.m => training procedure for localized multiple kernel k-means (requries Mosek optimization software) If you use any of the algorithms implemented in this package, please cite the following paper: Mehmet Gonen and Adam A. Margolin. Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology. Advances in Neural Information Processing Systems 27 (NIPS 2014), Montreal, Québec, Canada, 2014.
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