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Title: Data on cut-edge for spatial clustering based on proximity graphs
Authors: Aksaç, Alper
Özyer, Tansel
Alhajj, Reda
Keywords: Spatial data mining
proximity graphs
graph theory
Issue Date: Feb-2020
Publisher: Elsevier B.V.
Source: Aksac, A., Ozyer, T. and Alhajj, R. (2020). Data on cut-edge for spatial clustering based on proximity graphs. Data in brief, 28, 104899.
Abstract: Cluster analysis plays a significant role regarding automating such a knowledge discovery process in spatial data mining. A good clustering algorithm supports two essential conditions, namely high intra-cluster similarity and low inter-cluster similarity. Maximized intra-cluster/within-cluster similarity produces low distances between data points inside the same cluster. However, minimized inter-cluster/between-cluster similarity increases the distance between data points in different clusters by furthering them apart from each other. We previously presented a spatial clustering algorithm, abbreviated CutESC (Cut-Edge for Spatial Clustering) with a graph-based approach. The data presented in this article is related to and supportive to the research paper entitled "CutESC: Cutting edge spatial clustering technique based on proximity graphs" (Aksac et al., 2019) [1], where interpretation research data presented here is available. In this article, we share the parametric version of our algorithm named CutESC-P, the best parameter settings for the experiments, the additional analyses and some additional information related to the proposed algorithm (CutESC) in [1]. (C) 2019 The Authors. Published by Elsevier Inc.
ISSN: 2352-3409
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Veri Makaleleri / Data Papers
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Yapay Zeka Mühendisliği Bölümü / Department of Artificial Intelligence Engineering

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