gyla1993 / recome-a-new-density-based-clustering-algorithm-using-relative-knn-kernel-density

RECOME: A new density-based clustering algorithm using relative KNN kernel density, published in Information Science, 2018

RECOME-A-new-density-based-clustering-algorithm-using-relative-KNN-kernel-density

RECOME: A new density-based clustering algorithm using relative KNN kernel density, published in Information Science 2018 https://www.sciencedirect.com/science/article/pii/S0020025518300215
An arXiv version: https://arxiv.org/abs/1611.00484

This is a cpp implementation of the RECOME algorithm.

head.h ---- Common declearation
graphDefinition.cpp ---- Graph structure definition
main.cpp ---- RECOME algorithm
FJDD.cpp ---- FJDD algorithm for the parameter alpha extraction

RECOME.py ---- The python version of RECOME

Requirements:
C++03

#Reference

@article{geng2018recome,
title = "{RECOME}: {A} new density-based clustering algorithm using relative {KNN} kernel density",
journal = "Information Sciences",
volume = "436-437",
pages = "13 - 30",
year = "2018",
issn = "0020-0255",
doi = "https://doi.org/10.1016/j.ins.2018.01.013",
url = "http://www.sciencedirect.com/science/article/pii/S0020025518300215",
author = "Yangli-ao Geng and Qingyong Li and Rong Zheng and Fuzhen Zhuang and Ruisi He and Naixue Xiong",
keywords = "Density-based clustering, Density estimation, K nearest neighbors, Graph theory"
}