sequential clustering with minimum distance
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I have a problem where I want to cluster a group of items. Say I have a list of items l
l = [1, 2, 3, 4, 5, 6, 7, 8]
Say I will sequentially go through this list and select a "center" and if the next item in the sequence is within some distance threshold (as per some function) I assign that item to the center if not the item becomes a new center.
Another condition I have is each item should be allocated to the center with the least distance while being within the threshold too.
I can think of a n^2algorithm to do this. But is there a better solution?
cluster-analysis
asked Nov 16 '18 at 11:58
user77005user77005
4242618
add a comment |
I have a problem where I want to cluster a group of items. Say I have a list of items l
l = [1, 2, 3, 4, 5, 6, 7, 8]
Say I will sequentially go through this list and select a "center" and if the next item in the sequence is within some distance threshold (as per some function) I assign that item to the center if not the item becomes a new center.
Another condition I have is each item should be allocated to the center with the least distance while being within the threshold too.
I can think of a n^2algorithm to do this. But is there a better solution?
cluster-analysis
asked Nov 16 '18 at 11:58
user77005user77005
4242618
add a comment |
I have a problem where I want to cluster a group of items. Say I have a list of items l
l = [1, 2, 3, 4, 5, 6, 7, 8]
Say I will sequentially go through this list and select a "center" and if the next item in the sequence is within some distance threshold (as per some function) I assign that item to the center if not the item becomes a new center.
Another condition I have is each item should be allocated to the center with the least distance while being within the threshold too.
I can think of a n^2algorithm to do this. But is there a better solution?
cluster-analysis
asked Nov 16 '18 at 11:58
user77005user77005
4242618
I have a problem where I want to cluster a group of items. Say I have a list of items l
l = [1, 2, 3, 4, 5, 6, 7, 8]
Say I will sequentially go through this list and select a "center" and if the next item in the sequence is within some distance threshold (as per some function) I assign that item to the center if not the item becomes a new center.
Another condition I have is each item should be allocated to the center with the least distance while being within the threshold too.
I can think of a n^2algorithm to do this. But is there a better solution?
cluster-analysis
cluster-analysis
asked Nov 16 '18 at 11:58
user77005user77005
4242618
asked Nov 16 '18 at 11:58
user77005user77005
4242618
asked Nov 16 '18 at 11:58
user77005user77005
4242618
asked Nov 16 '18 at 11:58
user77005user77005
4242618
asked Nov 16 '18 at 11:58
user77005user77005
4242618
4242618
add a comment |
add a comment |
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