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wangsiwei2010
cfdbe6dd1e
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5 years ago | |
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| .. | ||
| README | 5 years ago | |
| calculate_localized_kernel_theta.m | 5 years ago | |
| demo_kernel_kmeans.m | 5 years ago | |
| demo_localized_multiple_kernel_kmeans.m | 5 years ago | |
| demo_multiple_kernel_kmeans.m | 5 years ago | |
| kkmeans_train.m | 5 years ago | |
| lmkkmeans_train.m | 5 years ago | |
| mkkmeans_train.m | 5 years ago | |
| mycombFun.m | 5 years ago | |
README
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
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* 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), Montréal, Québec, Canada, 2014.
Multiple Kernel k-means with Incomplete Kernels
Unity3D Asset MATLAB