This is an implementation for the following paper:
@article{ALSHAMMARI2019155,
title = {Approximate spectral clustering density-based similarity for noisy datasets},
journal = {Pattern Recognition Letters},
volume = {128},
pages = {155-161},
year = {2019},
doi = {https://doi.org/10.1016/j.patrec.2019.08.020},
author = {Mashaan Alshammari and Masahiro Takatsuka}
}
Run BATCH_Points.m
which will execute the following:
PRE_Points.m
to load toy data, csv files are the groundtruth labels.RUN_Points.m
to perform spectral clustering with CONN filtering.POST_Points.m
to compute the accuracy of clustering