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Tutorial Feedback

Please drop me a note if you find this tutorial is useful. I also welcome any suggestions to improve it. Let me know what worked for you and what didn't by answering the feedback form below. Sorry, I cannot help you to solve your assignment or homework. Check the FAQ before you post your question.

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Visitors' Comments on Tutorial: Similarity

We have 13 comments on this tutorial

rate up: 7 rate down: 8 last rated date: 2013-05-22

Is this comment useful? yes no

Answer > Percentage (date: 2011-01-06)

Percentage or ratio should be measured based on the maximum or the range. Please check my Normalization tutorial (http://people.revoledu.com/kardi/tutorial/Similarity/Normalization.html)

rate up: 181 rate down: 162 last rated date: 2013-05-22

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Question > hi (date: 2011-10-23)

By Mushtaque Shaikh

can you please elaborate on how to make a distance matrix when there are more than two multivariate entities to compare. My Goal is to identify the diverse individuals/entities. Thanks

rate up: 106 rate down: 90 last rated date: 2013-05-21

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Thank you > K mean clustering (date: 2011-11-29)

Than q, i got a good idea about K means clustering

rate up: 91 rate down: 89 last rated date: 2013-05-22

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Thank you > Awsome thanks (date: 2012-04-06)

By Anantharaman R

This was the best i have read, i was preparing for my exams, and i had lots of doubts, and your tutorials are the best. now i am confidant for my exam. thanks

rate up: 68 rate down: 63 last rated date: 2013-05-22

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Thank you > Very nice (date: 2012-06-16)

By hailton lemos

Very, very nice this tutorial. Thanks.

rate up: 58 rate down: 48 last rated date: 2013-05-22

Is this comment useful? yes no

Thank you > image processing (date: 2012-10-23)

very helpful ,,,,thank u so much

rate up: 43 rate down: 47 last rated date: 2013-05-23

Is this comment useful? yes no

Thank you > Feedback (date: 2012-12-05)

By Muneeb Ahmed Khan

What can I say .. Job well done by Sir Kardi Teknomo. Although this site is a bit of old-fashioned but still who cares if this site is giving me the best solution of the questions. Thank you once again Sir. *[Thumbs up]

rate up: 31 rate down: 33 last rated date: 2013-05-23

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Thank you > CBIR (date: 2012-12-28)

its really helpfull.... thank you so much...

rate up: 34 rate down: 31 last rated date: 2013-05-22

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Thank you > clustering in data mining (date: 2013-02-19)

tutorial was excellent

rate up: 19 rate down: 25 last rated date: 2013-05-22

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Answer > Distance and Similarity (date: 2013-03-25)

By rathika baskar

This tutorial really helps me to understand the distance and similarity

rate up: 8 rate down: 8 last rated date: 2013-05-19

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Thank you > thank you (date: 2013-04-11)

By fayez shayeb

really its simple and reach the idea thank you allot ...

rate up: 6 rate down: 6 last rated date: 2013-05-22

Is this comment useful? yes no

Answer > reliable normalization methods (date: 2013-05-03)

the normalization methods which are given here are good. very informative.

rate up: 0 rate down: 4 last rated date: 2013-05-19

Is this comment useful? yes no

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