Work

A Dispersive Degree based Clustering Algorithm Combined with Classification

Year: 2007

Type: conference-paper

Abstract: The various-density problem has become one of the focuses in density based clustering research.A novel dispersive degree based algorithm combined with classification, called CDDC, is presented in this paper to remove the hurdle.In CDDC, a sequence is established for depicting the data distribution, discriminating cores and classifying edges.Clusters are discovered by utilizing the revealed information.Several experiments are performed and the results suggest that CDDC is effective in handling the various-density problem and is more efficient than the well-known algorithms such as DBSCAN, OPTICS and KNNCLUST.

Source: International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

DOI: 10.2991/iske.2007.180

Authors: Xianchao Zhang, Shimin Shan, Zhihang Yu, He Jiang

Institution: Dalian University of Technology

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Natural Science Foundation of China

OpenAlex ID: W2037702016