loading
Documents

Research.Publish.Connect.

Paper

Authors: Huanqian Yan ; Yonggang Lu and Heng Ma

Affiliation: Lanzhou University, China

ISBN: 978-989-758-276-9

Keyword(s): Clustering, Pattern Recognition, Decision Graph, Image Segmentation.

Related Ontology Subjects/Areas/Topics: Clustering ; Pattern Recognition ; Theory and Methods

Abstract: Clustering is an important unsupervised machine learning method which has played an important role in various fields. Density-based clustering methods are capable of dealing with clusters of different sizes and shapes. As suggested by Alex Rodriguez et al. in a paper published in Science in 2014, the 2D decision graph of the estimated density value versus the minimum distance from the points with higher density values for all the data points can be used to identify the cluster centroids. However, there lack automatic methods for the determination of the cluster centroids from the decision graph. In this work, a novel statistic-based method is designed to identify the cluster centroids automatically from the decision graph. So the number of clusters is also automatically determined. Experiments on several synthetic and real-world datasets show the superiority of the proposed method in centroid identification from the datasets with various distributions and dimensionalities. Fu rthermore, it is also shown that the proposed method can be effectively applied to image segmentation. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.163.20.57

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yan H., Lu Y. and Ma H. (2018). Density-based Clustering using Automatic Density Peak Detection.In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-276-9, pages 95-102. DOI: 10.5220/0006572300950102

@conference{icpram18,
author={Huanqian Yan and Yonggang Lu and Heng Ma},
title={Density-based Clustering using Automatic Density Peak Detection},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2018},
pages={95-102},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006572300950102},
isbn={978-989-758-276-9},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Density-based Clustering using Automatic Density Peak Detection
SN - 978-989-758-276-9
AU - Yan H.
AU - Lu Y.
AU - Ma H.
PY - 2018
SP - 95
EP - 102
DO - 10.5220/0006572300950102

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.