An Approximate Fisher Linear Discriminant Analysis for Clustering

碩士 === 國立交通大學 === 電控工程研究所 === 99 === In the era we get the large amounts of data more and more easily, the data clustering becomes more and more important. The difficulty of clustering is that every case has many statistics which call features, how we choose these features or their combination will...

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Bibliographic Details
Main Authors: Yang, Cheng-Gang, 楊承綱
Other Authors: Jou, Chi-Cheng
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/27461978138598350716