Nisa, Khoirin and Herawati, Netti (2010) ANALISIS DISKRIMINAN LINIER ROBUST MENGGUNAKAN METODE VOLUME ELLIPSOID MINIMUM. PROSIDING SEMINAR NASIONAL SAINS MIPA DAN APLIKASINYA 2010 (SN SMAP 10).
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Abstract
Discriminant Analysis is a technique concerned with separating distinct sets of objects or observations into groups and allocating new objects into previously defined groups. In the classical approach, discriminant rules are often based on the empirical mean and covariance matrix of the data. But these estimates can be sensitive to outlying data, and they become inappropriate at contaminated data sets. In this paper, we consider the problem of robust Linear Discriminant Analysis (LDA) by inserting robust estimates of mean and covariance matrix using Minimum Volome Ellipsoids (MVE) estimator. We measure the performance of classical and robust LDA through the total probability of misclassification or the Error Rate as a performance criterion. This paper shows that LDA based on MVE can improve the error rate of discriminant analysis.
| Item Type: | Article |
|---|---|
| Subjects: | H Social Sciences > HA Statistics Q Science > QA Mathematics |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Matematika |
| Depositing User: | DR. KHOIRIN NISA |
| Date Deposited: | 27 Mar 2018 04:45 |
| Last Modified: | 27 Mar 2018 04:45 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/6619 |
Available Versions of this Item
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Generalized Variance Estimations
of Normal-Poisson Models. (deposited 29 May 2017 06:36)
- ANALISIS DISKRIMINAN LINIER ROBUST MENGGUNAKAN METODE VOLUME ELLIPSOID MINIMUM. (deposited 27 Mar 2018 04:45) [Currently Displayed]
- Generalized Variance Estimations of Normal-Poisson Models. (deposited 30 May 2017 01:35)
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