QIDBSCAN: A Quick Density-Based Clustering Technique

碩士 === 國立屏東科技大學 === 資訊管理系所 === 100 === Of the many data clustering algorithms proposed in recent years, the most effective are the density-based clustering algorithms, DBSCAN and IDBSCAN. Although density-based clustering method is effective for identifying graphs, filtering out noise, and obtaining...

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Bibliographic Details
Main Authors: Tang-Wei Huang, 黃堂維
Other Authors: Cheng-Fa Tsai
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/56735653089945448773