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Demo of using aNNE similarity for DBSCAN.
Written by Xiaoyu Qin, Monash University, March 2019, version 1.0
This software is under GNU General Public License version 3.0 (GPLv3)
This code is a demo of method described by the following publication: Qin, X., Ting, K.M., Zhu, Y. and Lee, V.C., 2019, July. Nearest-neighbour-induced isolation similarity and its impact on density-based clustering. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp....
A collection of kernel-based algorithms for Matlab.
KMBOX is a collection of MATLAB programs that implement kernel-based algorithms, with a focus on regression algorithms and online algorithms. It can be used for nonlinear signal processing and machine learning.
An implementation of the Kernel-based Orthogonal Projections to Latent Structures (K-OPLS) method for MATLAB and R. The supplied functionality includes e.g. cross-validation, kernel parameter optimization, model diagnostics and plot tools.
a Matlab benchmarking toolbox for kernel adaptive filtering
[Note: This project has moved. Visit https://github.com/steven2358/kafbox/ for the latest version.]
A Matlab benchmarking toolbox for kernel adaptive filtering.
Kernel adaptive filtering algorithms are online and adaptive regression algorithms based on kernels. They are suitable for nonlinear filtering, prediction, tracking and nonlinear regression in general. This toolbox includes algorithms, demos, and tools to compare their performance.
See the included README file for a list of included algorithms and more details.
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