Unsupervised Image Classification: K Means

My third project made for my Digital Image Processing 2 class in the Carlson Center for Imaging Science at the Rochester Institute of Technology.

Category:

Howto & Style

Tags:

• means
• image
• classification
• unsupervised
• chester
• carlson
• center
• imaging
• science
• rochester
• institute
• of
• technology
• RIT

[ricckli]

Great way of showing... Math is still frightening my students

[jwitwer]

@ricckli, Thank you! At first, the math was very frightening to me as well. I was lucky enough to have very patient professors here at RIT's Center for Imaging Science!

[neozenith]

what a great and easy to follow video!!! =D I;m gonna checkout if you have more now =]

[jwitwer]

@neozenith

Thank!

I've got two more up here.

One on Digital Watermarking and another one on an Demosaicing technique.

[10aszg]

Thanks a lot buddy!

[jonaswang79]

Thank you for explaining it as a human being instead of the usual "one mathmatician explaining it to another mathmatician" explanation you see so often.

[MegaCrazyTaxiDriver]

Your project was to make a video explaining an algorithm?

[abramswee]

thanks for for your effort.

[mudassir2008]

Thanks.,.,.

You made it look easier.,.,.,.

[FidusChan]

thank you u made my mind clear !

[eltorro1919]

The part where you explain how to calculate new clusters center isn't very clear the equation also :[

[gerrrz]

Thank you for the explanation. I was trying to use K means in clustering english words to count how many syllable can be generated through it. Any idea on the amount of cluster centers should i use?

[gerrrz]

Thank you :3