具遺失訊息下的精簡高斯分群模型

dc.contributor國立臺灣師範大學地理學系zh_TW
dc.contributor.author王婉諭zh_TW
dc.contributor.author林宗儀zh_TW
dc.date.accessioned2016-03-22T06:50:49Z
dc.date.available2016-03-22T06:50:49Z
dc.date.issued2012-09-01
dc.identifierntnulib_tp_B0421_01_007
dc.identifier.issn0529-6528
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/76948
dc.languagezh_TW
dc.publisher中國統計學社、中國主計協進社zh_TW
dc.relation中國統計學報,50(3),142-172。zh_TW
dc.subject.other貝氏訊息準則zh_TW
dc.subject.other特徵值分解zh_TW
dc.subject.otherEM-type演算法zh_TW
dc.subject.otherF-G演算法zh_TW
dc.subject.other整合完整概似zh_TW
dc.subject.other基於模型分群zh_TW
dc.subject.otherBayesian information criterionen_US
dc.subject.otherEigenvalue decompositionen_US
dc.subject.otherEM-type algorithmsen_US
dc.subject.otherFG-algorithmen_US
dc.subject.otherIntegrated complete likelihooden_US
dc.subject.otherModel-based clusteringen_US
dc.title具遺失訊息下的精簡高斯分群模型zh_TW
dc.titleParsimonious Gaussian Clustering Models with Missing Informationen_US

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