EvoCluster

 

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Evocluster Project
EvoCluster is a project on Evolutionary Clustering. Clustering is the classification of data into categories. Evolution is a nature based algorithm used in search algorithms.

Below are some downloads in Farsi. I will be glad if you use them. It will be kind of you to mention my name in the reference section of your work.

Feel free to send your comments or any questions to vida@kamangroup.com.

Downloads:

Genetic Algorithms and Evolutionary Computation
Mathematical Morphology
Shape Description Methods
Research done using Genetic Algorithms and Shapes

PhD proposal
Proposal Defense Presentation
پروژه EvoCluster
هدف ازاين پروژه انجام خوشه بندي به روش تکاملي مي باشد. خوشه بندي عبارت است از دسته بندي داده ها به دسته هاي مجزا و روش هاي تکاملي، روش هاي جستجويي برگرفته از تکامل در طبيعت مي باشند.

در ادامه تعدادي از متن هايي که در اين پروژه تهيه شده اند، آورده شده است. اگر از آنها در متني استفاده مي کنيد، با ذکر نام سايت در ليست مراجع خود لطف زيادي کرده ايد.

لطفاً نظرات و سوالات خود را به آدرس زير Email کنيد. vida@kamangroup.com

الگوريتم هاي ژنتيکي و روش هاي تکاملي
مورفولوژي رياضي
روش هاي توصيف شکل
تحقيقات انجام شده با الگوريتم هاي ژنتيکي و شکل

پروپوزال پروژه دکتري
فايل پاورپوينت دفاع از پروپوزال

Vida Movahedi

I am a PhD student working on EvoCluster Project. My main interests are Evolutionary and Genetic Algorithms, Computer Vision, and Neural Networks.
I have received my B.Eng. in Electrical Engineering from Sharif University of Technology, Tehran, Iran, and My M.Eng. in Computer Engineering from AmirKabir University of Technology, Tehran, Iran. I am studying in AmirKabir University now.
My M.Eng. Thesis is on "Automatic Recognition of Human Face Profiles". Here is the Farsi file of my thesis plus two papers based on it. Please kindly mention my name in your references, if you use them.

Paper 1: Identification of human face profiles using autocorrelation coefficients and geometric features (Farsi)
Paper 2: Identification of human face profiles using Fourier, Cosine, and Hartley Descriptors (Farsi)

Paper 1: English Abstract
Paper 2: English Abstract

M.Eng. Thesis
Contents
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
References

Please send your comments to software@kamangroup.com