How to calculate a weighted Hierarchical clustering in Orange
$begingroup$
I am doing my first cluster analysis with Orange (which I recently discovered and looks promising for this iterative and interactive process).
Apparently, there are several methods of creating clusters based on distance algorithm:
Single linkage (which computes the distance between the closest elements of the two clusters)
Average linkage (which computes the average distance between elements of the two clusters)
Complete linkage (which computes the distance between the clusters’ most distant elements)
Weighted linkage- Ward
Since I have several columns, and some of them are more important than others in terms of defining clusters, it seems to me that using weighted linkage method may be what I am looking for. Unfortunately, I don't know how to do that, since I didn't find a way to assign a weight to each column.
To make things worse, I have only found an explanation about the first three on this Orange's blog post but nothing about Weighted linkage (nor Ward, which may be a recent addition, since it is not even mentioned on widget's help).
Am I on the right path to achieve what I am looking for? Is there any way to make some columns more or less important/definitory when calculating the distances?
clustering orange
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
I am doing my first cluster analysis with Orange (which I recently discovered and looks promising for this iterative and interactive process).
Apparently, there are several methods of creating clusters based on distance algorithm:
Single linkage (which computes the distance between the closest elements of the two clusters)
Average linkage (which computes the average distance between elements of the two clusters)
Complete linkage (which computes the distance between the clusters’ most distant elements)
Weighted linkage- Ward
Since I have several columns, and some of them are more important than others in terms of defining clusters, it seems to me that using weighted linkage method may be what I am looking for. Unfortunately, I don't know how to do that, since I didn't find a way to assign a weight to each column.
To make things worse, I have only found an explanation about the first three on this Orange's blog post but nothing about Weighted linkage (nor Ward, which may be a recent addition, since it is not even mentioned on widget's help).
Am I on the right path to achieve what I am looking for? Is there any way to make some columns more or less important/definitory when calculating the distances?
clustering orange
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I am doing my first cluster analysis with Orange (which I recently discovered and looks promising for this iterative and interactive process).
Apparently, there are several methods of creating clusters based on distance algorithm:
Single linkage (which computes the distance between the closest elements of the two clusters)
Average linkage (which computes the average distance between elements of the two clusters)
Complete linkage (which computes the distance between the clusters’ most distant elements)
Weighted linkage- Ward
Since I have several columns, and some of them are more important than others in terms of defining clusters, it seems to me that using weighted linkage method may be what I am looking for. Unfortunately, I don't know how to do that, since I didn't find a way to assign a weight to each column.
To make things worse, I have only found an explanation about the first three on this Orange's blog post but nothing about Weighted linkage (nor Ward, which may be a recent addition, since it is not even mentioned on widget's help).
Am I on the right path to achieve what I am looking for? Is there any way to make some columns more or less important/definitory when calculating the distances?
clustering orange
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I am doing my first cluster analysis with Orange (which I recently discovered and looks promising for this iterative and interactive process).
Apparently, there are several methods of creating clusters based on distance algorithm:
Single linkage (which computes the distance between the closest elements of the two clusters)
Average linkage (which computes the average distance between elements of the two clusters)
Complete linkage (which computes the distance between the clusters’ most distant elements)
Weighted linkage- Ward
Since I have several columns, and some of them are more important than others in terms of defining clusters, it seems to me that using weighted linkage method may be what I am looking for. Unfortunately, I don't know how to do that, since I didn't find a way to assign a weight to each column.
To make things worse, I have only found an explanation about the first three on this Orange's blog post but nothing about Weighted linkage (nor Ward, which may be a recent addition, since it is not even mentioned on widget's help).
Am I on the right path to achieve what I am looking for? Is there any way to make some columns more or less important/definitory when calculating the distances?
clustering orange
clustering orange
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
ccamaraccamara
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
ccamaraccamara
1063
asked 2 days ago
ccamaraccamara
1063
1063
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
ccamara is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
1 Answer
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$begingroup$
Weighted linkage probably does not mean you get to specify weights of features (build the distance matrix yourself!)
Instead this most likely refers to the well-known weighted group average strategy you will find in most textbooks often called WPGMA. There are two different definitions of "average", so this is likely simply the "other" average linkage.
answered yesterday
Anony-MousseAnony-Mousse
4,965624
$endgroup$
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
add a comment |
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1 Answer
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active
oldest
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1 Answer
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active
oldest
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$begingroup$
Weighted linkage probably does not mean you get to specify weights of features (build the distance matrix yourself!)
Instead this most likely refers to the well-known weighted group average strategy you will find in most textbooks often called WPGMA. There are two different definitions of "average", so this is likely simply the "other" average linkage.
answered yesterday
Anony-MousseAnony-Mousse
4,965624
$endgroup$
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
add a comment |
$begingroup$
Weighted linkage probably does not mean you get to specify weights of features (build the distance matrix yourself!)
Instead this most likely refers to the well-known weighted group average strategy you will find in most textbooks often called WPGMA. There are two different definitions of "average", so this is likely simply the "other" average linkage.
answered yesterday
Anony-MousseAnony-Mousse
4,965624
$endgroup$
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
add a comment |
$begingroup$
Weighted linkage probably does not mean you get to specify weights of features (build the distance matrix yourself!)
Instead this most likely refers to the well-known weighted group average strategy you will find in most textbooks often called WPGMA. There are two different definitions of "average", so this is likely simply the "other" average linkage.
answered yesterday
Anony-MousseAnony-Mousse
4,965624
$endgroup$
Weighted linkage probably does not mean you get to specify weights of features (build the distance matrix yourself!)
Instead this most likely refers to the well-known weighted group average strategy you will find in most textbooks often called WPGMA. There are two different definitions of "average", so this is likely simply the "other" average linkage.
answered yesterday
Anony-MousseAnony-Mousse
4,965624
answered yesterday
Anony-MousseAnony-Mousse
4,965624
answered yesterday
Anony-MousseAnony-Mousse
4,965624
answered yesterday
Anony-MousseAnony-Mousse
4,965624
4,965624
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
add a comment |
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
Oh, I see I misunderstood. If I am not wrong, from your answer I should build the distance matrix in order to express if a variable is more important than another, but honestly I don't know how should I do that in orange. Do you have any clue about that?
$endgroup$
– ccamara
yesterday
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
$begingroup$
I don't use orange. Isn't it little more than a GUI frontend for sklearn by now?
$endgroup$
– Anony-Mousse
20 hours ago
add a comment |
ccamara is a new contributor. Be nice, and check out our Code of Conduct.
ccamara is a new contributor. Be nice, and check out our Code of Conduct.
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