What is the difference between Rand Index (RI) and Simple Matching Coeffiecient (SMC) in clustering?
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I don't understand the difference between Rand Index (RI) and Simple matching Coefficient (SMC). From the calculation provided in the following page, the calculation looks so similar.
RI: https://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html
SMC: https://en.wikipedia.org/wiki/Simple_matching_coefficient
Are they kind of the same thing?
Thanks!
r machine-learning
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migrated from stackoverflow.com Jan 4 at 15:47
This question came from our site for professional and enthusiast programmers.
add a comment |
$begingroup$
I don't understand the difference between Rand Index (RI) and Simple matching Coefficient (SMC). From the calculation provided in the following page, the calculation looks so similar.
RI: https://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html
SMC: https://en.wikipedia.org/wiki/Simple_matching_coefficient
Are they kind of the same thing?
Thanks!
r machine-learning
$endgroup$
migrated from stackoverflow.com Jan 4 at 15:47
This question came from our site for professional and enthusiast programmers.
add a comment |
$begingroup$
I don't understand the difference between Rand Index (RI) and Simple matching Coefficient (SMC). From the calculation provided in the following page, the calculation looks so similar.
RI: https://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html
SMC: https://en.wikipedia.org/wiki/Simple_matching_coefficient
Are they kind of the same thing?
Thanks!
r machine-learning
$endgroup$
I don't understand the difference between Rand Index (RI) and Simple matching Coefficient (SMC). From the calculation provided in the following page, the calculation looks so similar.
RI: https://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-clustering-1.html
SMC: https://en.wikipedia.org/wiki/Simple_matching_coefficient
Are they kind of the same thing?
Thanks!
r machine-learning
r machine-learning
asked Jan 4 at 14:31
bihappywaterbihappywater
1
1
migrated from stackoverflow.com Jan 4 at 15:47
This question came from our site for professional and enthusiast programmers.
migrated from stackoverflow.com Jan 4 at 15:47
This question came from our site for professional and enthusiast programmers.
add a comment |
add a comment |
1 Answer
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They can both be interpreted as accuracy of something but that is a fairly shallow level where they are "the same" because the accuracy is computed on different values.
See also ACC here: https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
The differences are:
- How you compute the four values in the first place - by simple matching or by pairs (Rand)
- How and where you use it, e.g. in classification or distance
- The concepts and theoretical arguments for using this equation - the why this is the right thing to do
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$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
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– bihappywater
Jan 7 at 15:22
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SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
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– Anony-Mousse
Jan 7 at 19:40
add a comment |
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$begingroup$
They can both be interpreted as accuracy of something but that is a fairly shallow level where they are "the same" because the accuracy is computed on different values.
See also ACC here: https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
The differences are:
- How you compute the four values in the first place - by simple matching or by pairs (Rand)
- How and where you use it, e.g. in classification or distance
- The concepts and theoretical arguments for using this equation - the why this is the right thing to do
$endgroup$
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
add a comment |
$begingroup$
They can both be interpreted as accuracy of something but that is a fairly shallow level where they are "the same" because the accuracy is computed on different values.
See also ACC here: https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
The differences are:
- How you compute the four values in the first place - by simple matching or by pairs (Rand)
- How and where you use it, e.g. in classification or distance
- The concepts and theoretical arguments for using this equation - the why this is the right thing to do
$endgroup$
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
add a comment |
$begingroup$
They can both be interpreted as accuracy of something but that is a fairly shallow level where they are "the same" because the accuracy is computed on different values.
See also ACC here: https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
The differences are:
- How you compute the four values in the first place - by simple matching or by pairs (Rand)
- How and where you use it, e.g. in classification or distance
- The concepts and theoretical arguments for using this equation - the why this is the right thing to do
$endgroup$
They can both be interpreted as accuracy of something but that is a fairly shallow level where they are "the same" because the accuracy is computed on different values.
See also ACC here: https://en.wikipedia.org/wiki/Evaluation_of_binary_classifiers
The differences are:
- How you compute the four values in the first place - by simple matching or by pairs (Rand)
- How and where you use it, e.g. in classification or distance
- The concepts and theoretical arguments for using this equation - the why this is the right thing to do
answered Jan 5 at 9:39
Anony-MousseAnony-Mousse
30.9k54181
30.9k54181
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
add a comment |
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
Thank you Anony-Mousse. I am matching by pair (RAND) for clustering evaluation. Not sure yet if I understand the answer....
$endgroup$
– bihappywater
Jan 7 at 15:22
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
$begingroup$
SMC compares two arrays, position by position (not pairs of clusters) on whether they match. So "woof" and "wool" match in 3 of 4 positions.
$endgroup$
– Anony-Mousse
Jan 7 at 19:40
add a comment |
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