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sumanth-bmsce / Unsupervised_Extreme_Learning_Machine

Unsupervised Extreme Learning Machine(ELM) is a non-iterative algorithm used for feature extraction. This method is applied on the IRIS Dataset for non-linear feature extraction and clustering using k-means, Self Organizing Maps(Kohonen Network) and EM Algorithm
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How to show the following constraints in the ELM.PY program? #2

Open HaoVictory opened 5 years ago

HaoVictory commented 5 years ago

1) If nh ≤ N Find the generalized eigenvectors v2,vv3,...,vvno+1 of (20) corresponding to the second through the no + 1 smallest eigenvalues. Let β = [v2,v3,...,vno+1],where vi = vi/Hvi, i = 2,..., no + 1. 2) Else Find the generalized eigenvectors u2, u3,..., uno+1 of issue

sumanth-bmsce commented 5 years ago

For our usage, we only required the 1st condition i.e. nh ≤ N. So, I have included only that constraint in line 104 in ELM.py. If want to include the second condition as well, you are welcome to contribute to this repo.

HaoVictory commented 5 years ago

Thank you very much for your help! I will try it. 

------------------ 原始邮件 ------------------ 发件人: "Sumanth Simha C"<notifications@github.com>; 发送时间: 2019年10月19日(星期六) 中午1:36 收件人: "sumanth-bmsce/Unsupervised_Extreme_Learning_Machine"<Unsupervised_Extreme_Learning_Machine@noreply.github.com>; 抄送: "FIND FREEDOM"<1132626131@qq.com>;"Author"<author@noreply.github.com>; 主题: Re: [sumanth-bmsce/Unsupervised_Extreme_Learning_Machine] How to show the following constraints in the ELM.PY program? (#2)

For our usage, we only required the 1st condition i.e. nh ≤ N. So, I have included only that constraint in line 104 in ELM.py. If want to include the second condition as well, you are welcome to contribute to this repo.

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sumanth-bmsce commented 4 years ago

Hi, You are welcome to contribute to this repo and add the second constraint