Integrating Fuzzy <i>c</i>-Means Clustering with PostgreSQL
Many data sets to be clustered are stored in relational databases. Having a clusterization algorithm implemented in SQL provides easier clusterization inside a relational DBMS than outside with some alternative tools. In this paper we propose Fuzzy c-Means clustering algorithm adapted for PostgreSQL...
| 發表在: | Труды Института системного программирования РАН |
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| 主要作者: | |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Russian Academy of Sciences, Ivannikov Institute for System Programming
2018-10-01
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| 主題: | |
| 在線閱讀: | https://ispranproceedings.elpub.ru/jour/article/view/1041 |
| 總結: | Many data sets to be clustered are stored in relational databases. Having a clusterization algorithm implemented in SQL provides easier clusterization inside a relational DBMS than outside with some alternative tools. In this paper we propose Fuzzy c-Means clustering algorithm adapted for PostgreSQL open-source relational DBMS. |
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| ISSN: | 2079-8156 2220-6426 |
