Kernel Methods Toolbox KMBOX includes implementations of algorithms such as kernel principal component analysis (KPCA), kernel canonical correlation analysis (KCCA) and kernel recursive least-squares (KRLS).

steven2358-kmbox-425fe66
........................\.gitignore
........................\LICENSE.txt
........................\README.md
........................\demo
........................\....\km_demo_akcca.m
........................\....\km_demo_kcca.m
........................\....\km_demo_kcca_full.m
........................\....\km_demo_kde.m
........................\....\km_demo_kiham.m
........................\....\km_demo_kpca_3clusters.m
........................\....\km_demo_kpca_u.m
........................\....\km_demo_krls_mg30.m
........................\....\km_demo_krls_wiener.m
........................\....\km_demo_krlst.m
........................\....\km_demo_krr.m
........................\....\km_demo_krr_icd.m
........................\....\km_demo_pca.m
........................\....\km_demo_template.m
........................\....\km_run_all_demos.m
........................\install.m
........................\lib
........................\...\km_akcca.m
........................\...\km_aldkrls.m
........................\...\km_fbkrls.m
........................\...\km_kcca.m
........................\...\km_kde.m
........................\...\km_kernel.m
........................\...\km_kernel_center.m
........................\...\km_kernel_icd.m
........................\...\km_kiham.m
........................\...\km_kpca.m
........................\...\km_kpca_icd.m
........................\...\km_krlst.m
........................\...\km_krr.m
........................\...\km_krr_icd.m
........................\...\km_memfill.m
........................\...\km_norma.m
........................\...\km_pca.m
........................\...\km_qklms.m
........................\...\km_silverman.m
........................\...\km_swkrls.m
........................\...\km_template.m

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