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Mahalanobis distance is a distance base on correlation structure between variable which have different shape that can be identified and analyzed. Mahalanobis distance usually used in cluster analyzation, outlier identification an another classification. Outlier identification method is still being a...

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主要作者: SUSILAWATI (NIM 10103039), EKA
格式: Final Project
語言:Indonesia
在線閱讀:https://digilib.itb.ac.id/gdl/view/10319
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機構: Institut Teknologi Bandung
語言: Indonesia
實物特徵
總結:Mahalanobis distance is a distance base on correlation structure between variable which have different shape that can be identified and analyzed. Mahalanobis distance usually used in cluster analyzation, outlier identification an another classification. Outlier identification method is still being a focus for efficiency improvement. In this final project, the author try to present it base on literature and simulation. Determinan methode have a same effctivity but have a better effecience than MVV (Minimum Vector Variance) method. In this research the author use Normal datas with many variation of size data.