Robust Clustering for Longitudinal Data with Fast Computational Algorithm

碩士 === 國立中興大學 === 統計學研究所 === 105 === This study introduces noncentrality and its variant as a measure for clustering longitudinal data,along with an improvement on the computational algorithm:the iterated recombination of subsets(IRS).Since the IRS algorithm still has considerable burden in computat...

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Bibliographic Details
Main Authors: Jun-Kai Ke, 柯竣凱
Other Authors: Hong-Dar Wu
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/92183938012897774786