Classification in MatLab by SVM and Random Forest

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I need to make a reduction features using two methods by Matlab: Principal Component Analysis (PCA) and probabilistic PCA (it can be made by for example toolbox [login to view URL] or by other method, not toolbox) and then make a classification (there are 6 classes) by SMV and Random Forests. Data are provided in a spreadsheet, where the class are in the last column.

Matlab and Mathematica

ID Proyek: #10585550

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6 proposal Proyek online Aktif 7 tahun yang lalu

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mumukati

Dear employer, Till now we have been working with government agencies and were doing local projects but to increase our exposure we have started working internationally. We are a team of 4 researchers who are h Lebih banyak

zł400 PLN dalam 3 hari
(38 Ulasan)
5.2

6 freelancer rata-rata menawar zł395 untuk pekerjaan ini

aminariaz

sir i can help u with this project i have done masters in computer engg with specilization in image processing and pattern recognition this is a dummy bid i can give u an exact estimate after we discuss the project hop Lebih banyak

zł444 PLN dalam 1 hari
(102 Ulasan)
6.1
pritam2302

I have done projects on feature reduction using PCA. I am confident of successfully completing the project.

zł250 PLN dalam 3 hari
(4 Ulasan)
3.1
alexbauer9zig

Hi, I would liketo help with your projects. Even though I have not much freelancing experience, I have quite a bit of matlab experience, especially in the field of scientific computing, data analysis, machine learni Lebih banyak

zł444 PLN dalam 10 hari
(0 Ulasan)
0.0