DDCT: Detecting Density Differences Using A Novel Clustering Technique

碩士 === 國立屏東科技大學 === 資訊管理系所 === 98 === Data clustering plays an important role in various fields. Data clustering approaches have been presented in recent decades. Identifying clusters with widely differing shapes, sizes and densities in the presence of noise and outliers is challenging. Many density...

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Bibliographic Details
Main Authors: Yi-Ching Huang, 黃怡菁
Other Authors: Cheng-Fa Tsai
Format: Others
Language:zh-TW
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/56220399794122222741