Thank you for your kind words about my RUclips video and for considering me one of the best teachers on the platform. Your feedback means a lot to me and provides the motivation and encouragement to continue uploading more videos. Your support is truly appreciated.
Thanks for your comment! I'm glad you learned something new from my Proximity Measures video. Your kind words mean a lot to me and motivate me to create more videos. Thanks for your support!
Hello Sir, Firstly thank you for excellent video. I just confused in one point , as I know nominal data means categorical data, but in second example first column is numerical. Did you just suppose that values as a categorical attribute ? or there is a mistake ? Thanks in advance sir.
Excellent. But what if the first column was like this: jack, Sara, bob, jack, Sara, bob? should we consider the repeated names as new names then compute the dissimilarity for each of them?
Once you get find proximity measure for any pair then do not need to find it again. Kindly let me know , if you any more question on it. Thanks Rawan !!
Hello, thank you for this video :D however i think that you didn't make the difference between ordinal attributes and nominal attributes ! which actually differs in their meaning. Nominal attributes such as colors does not carry any order information however ordinal attributes such as Grading carry order information. Please correct me if i'm getting this wrong :D
There are the differences between Nominal and Ordinal attributes. I would suggest you, please watch my video on Ordinal Attribute ruclips.net/video/AJB4ZD27gl8/видео.html. Even if you do any question then kindly let me know. Really appreciated your message and thank you so much Marwane !!
![Gunna - HIM ALL ALONG [Official Visualizer]](http://i.ytimg.com/vi/HiCxoDeo0hc/mqdefault.jpg)
I love you, professor. You saved my life.
You are an amazing teacher. Made life so easy for me.
Thank you for your kind words about my RUclips video and for considering me one of the best teachers on the platform. Your feedback means a lot to me and provides the motivation and encouragement to continue uploading more videos. Your support is truly appreciated.
Love you!!!!!!!!!!!!!!!! Saving my exam!!!!!!!!!!!!!!!!
I'm a cs+econ student in UIUC. This video is very useful for cs 412: intro to data mining.
Thanks for your comment! I'm glad you learned something new from my Proximity Measures video. Your kind words mean a lot to me and motivate me to create more videos. Thanks for your support!
Thank you so much brother
Bring more of data mining concepts
Beautifully explained! love and respect from Pakistan!
Thank you Hammad Hassan !!
Explained very well. Saved my time😁
In grading, would grades not be ordinal, not nominal? Ordinal = there is a meaningful order in the categories.
Thank you so much, i really understand now. you're a very great teacher
Thank you so much teacher! A very good explaination
Hello Sir, Firstly thank you for excellent video. I just confused in one point , as I know nominal data means categorical data, but in second example first column is numerical. Did you just suppose that values as a categorical attribute ? or there is a mistake ? Thanks in advance sir.
Great videos , thanks ❤
Very well explained!
great love & Respect from pakistan
Thank you so much Zubair !!
In the second example attribute 1 suppose to be numeric not nominal? Therefore p with equal 1
data mining student watching it a night before exam .
This was very helpful thank youu
Thank you Shahad !!
Excellent. But what if the first column was like this: jack, Sara, bob, jack, Sara, bob?
should we consider the repeated names as new names then compute the dissimilarity for each of them?
Once you get find proximity measure for any pair then do not need to find it again. Kindly let me know , if you any more question on it. Thanks Rawan !!
Thank you very much 💜
Thank you very much😍
Thank you for nice words. Good to know this proximity tutorial helped you. Keep Learning !!
Thx for video !
I fell in love with you great great great vedio
Thank you !!
Thankyou sir, Permission to ask, sir, for the material that you have conveyed, may I know the reference for the book, sir? thank you in advance sir 😊
Hello is the measure of dissimilarity in the interval [0..1]?
Hello, thank you for this video :D however i think that you didn't make the difference between ordinal attributes and nominal attributes ! which actually differs in their meaning. Nominal attributes such as colors does not carry any order information however ordinal attributes such as Grading carry order information. Please correct me if i'm getting this wrong :D
There are the differences between Nominal and Ordinal attributes. I would suggest you, please watch my video on Ordinal Attribute ruclips.net/video/AJB4ZD27gl8/видео.html. Even if you do any question then kindly let me know. Really appreciated your message and thank you so much Marwane !!
Thank u so much
Welcome Ashraf !!
What if proximity is 1/2.?
Please bring out the betel leaf before lecture