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Issue #64: added n_init to kmeans #78
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src/kmeans.jl
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maxiter=maxiter, | ||
tol=tol, | ||
display=display) | ||
n_init > 0 || throw(ArgumentError("n_init must be greater than 0")) |
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Everything is still being indented with tabs. You can do a find-and-replace to change everything at once, if you wish; I do it in Vim like
:%s/\t/ /g
If you accidentally close a pull request, you can just click "reopen," no need to open a new one. |
src/kmeans.jl
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@@ -72,6 +92,8 @@ function _kmeans!{T<:AbstractFloat}( | |||
tol::Real, # in: tolerance of change at convergence | |||
displevel::Int) # in: the level of display | |||
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Please remove the excess whitespace here and above. The change is unrelated to the PR.
src/kmeans.jl
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end | ||
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return bestresult | ||
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Please remove the line breaks on lines 60, 73, and 75 for style consistency with the rest of the code.
src/kmeans.jl
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tol::Real=_kmeans_default_tol, | ||
display::Symbol=_kmeans_default_display) | ||
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Another unrelated whitespace change
Sorry, I realize the whitespace pedantry is probably annoying. Once my outstanding style comments are addressed I think this will be good to go. Thanks for the contribution! |
No I completely apologize for these small things that I didn't take care to consider. Thanks for helping me learn about this process. It is preparing me for future commits. |
src/kmeans.jl
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@@ -71,7 +87,7 @@ function _kmeans!{T<:AbstractFloat}( | |||
maxiter::Int, # in: maximum number of iterations | |||
tol::Real, # in: tolerance of change at convergence | |||
displevel::Int) # in: the level of display | |||
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Trailing whitespace. I don't know what editor you use, but I think Atom trims trailing whitespace by default, and in Vim you can do :%s/\s\+$//g
to remove it.
src/kmeans.jl
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tol::Real=_kmeans_default_tol, | ||
display::Symbol=_kmeans_default_display) | ||
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One last remaining extraneous newline.
This looks great to me, though I'd like a second pair of eyes on the implementation before it's merged. @KristofferC? |
This is rather old, but Clustering.jl hasn't had any active maintainers in a while. I just fixed the merge conflicts. This seems like a nice addition, but the documentation needs to be updated to reflect the interface change. @lbollar, are you still available to update this? |
I'll try and get some time soon and update.
On Aug 26, 2017 9:38 AM, "Kevin Squire" <[email protected]> wrote:
This is rather old, but Clustering.jl hasn't had any active maintainers in
a while. I just fixed the merge conflicts. This seems like a nice addition,
but the documentation needs to be updated to reflect the interface change.
@lbollar <https://github.com/lbollar>, are you still available to update
this?
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@@ -44,20 +45,34 @@ function kmeans{T<:AbstractFloat}(X::Matrix{T}, k::Int; | |||
weights=nothing, | |||
init=_kmeans_default_init, | |||
maxiter::Integer=_kmeans_default_maxiter, | |||
n_init::Integer=_kmeans_default_n_init, |
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I understand that n_init
comes from Python's sklearn (#64), but it doesn't sound like a best choice for me.
Maybe something like n_tries
to reflect that the parameter defines how many times the algorithm, rather than some initialization procedure, is run?
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or ntries
? And wouldn't be an overkill to run 10 times? I recommend default value 1, because usually a quick partitioning is required and not necessarily best one. And, if one needs to find a best clustering, this parameter can be set to larger value explicitly.
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10 is what sklearn does at it sounds reasonable to me.
It isn't unusual to run 1000s of times, (that was done as the baseline for the affinity propagation paper)
If some need a quick partition they can ask for it.
The default shouldn't be so sensitive to random factors.
I think 10 strikes the right balance.
Though I could see argument for 3 or 30
Any interest in merging this sometime? |
I think it's worth merging. I'd rename the parameter to |
Sorry, I am still figuring out the pull request process and think I accidentally closed last one. Here is new request with suggested cleanups.
Apologies.
EDIT: fixes #64, original PR #77