空间数据库中的聚类与知识发现

Vistas in Astronomy Pub Date : 1997-01-01 DOI:10.1016/S0083-6656(97)00044-5

Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander

{"title":"空间数据库中的聚类与知识发现","authors":"Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander","doi":"10.1016/S0083-6656(97)00044-5","DOIUrl":null,"url":null,"abstract":"<div><p>In the past decades, clustering has been widely used in areas such as pattern recognition, data analysis, and image processing. Recently, clustering has been recognized as a useful method for knowledge discovery in spatial databases. To efficiently detect clusters from large spatial databases with a limited amount of available memory, special database techniques have been developed. In this article, we present a survey of these methods from a database perspective.</p></div>","PeriodicalId":101275,"journal":{"name":"Vistas in Astronomy","volume":"41 3","pages":"Pages 397-403"},"PeriodicalIF":0.0000,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0083-6656(97)00044-5","citationCount":"12","resultStr":"{\"title\":\"Clustering and knowledge discovery in spatial databases\",\"authors\":\"Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander\",\"doi\":\"10.1016/S0083-6656(97)00044-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the past decades, clustering has been widely used in areas such as pattern recognition, data analysis, and image processing. Recently, clustering has been recognized as a useful method for knowledge discovery in spatial databases. To efficiently detect clusters from large spatial databases with a limited amount of available memory, special database techniques have been developed. In this article, we present a survey of these methods from a database perspective.</p></div>\",\"PeriodicalId\":101275,\"journal\":{\"name\":\"Vistas in Astronomy\",\"volume\":\"41 3\",\"pages\":\"Pages 397-403\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0083-6656(97)00044-5\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vistas in Astronomy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0083665697000445\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vistas in Astronomy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0083665697000445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

在过去的几十年里，聚类在模式识别、数据分析和图像处理等领域得到了广泛的应用。近年来，聚类已成为空间数据库知识发现的一种有效方法。为了在有限的可用内存下有效地从大型空间数据库中检测集群，已经开发了特殊的数据库技术。在本文中，我们将从数据库的角度对这些方法进行概述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Clustering and knowledge discovery in spatial databases

In the past decades, clustering has been widely used in areas such as pattern recognition, data analysis, and image processing. Recently, clustering has been recognized as a useful method for knowledge discovery in spatial databases. To efficiently detect clusters from large spatial databases with a limited amount of available memory, special database techniques have been developed. In this article, we present a survey of these methods from a database perspective.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Vistas in Astronomy

自引率

0.00%

发文量