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文件名称:kmeans

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  • 上传时间:
    2016-11-08
  • 文件大小:
    581.56kb
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介绍说明--下载内容来自于网络,使用问题请自行百度

k-means is a algorithm for make unsupervised learning, which use a vector, value k for create the clustering
(系统自动生成,下载前可以参看下载内容)

下载文件列表

kmeans/
kmeans/.git/
kmeans/.git/HEAD
kmeans/.git/branches/
kmeans/.git/config
kmeans/.git/description
kmeans/.git/hooks/
kmeans/.git/hooks/applypatch-msg.sample
kmeans/.git/hooks/commit-msg.sample
kmeans/.git/hooks/post-update.sample
kmeans/.git/hooks/pre-applypatch.sample
kmeans/.git/hooks/pre-commit.sample
kmeans/.git/hooks/pre-push.sample
kmeans/.git/hooks/pre-rebase.sample
kmeans/.git/hooks/prepare-commit-msg.sample
kmeans/.git/hooks/update.sample
kmeans/.git/index
kmeans/.git/info/
kmeans/.git/info/exclude
kmeans/.git/logs/
kmeans/.git/logs/HEAD
kmeans/.git/logs/refs/
kmeans/.git/logs/refs/heads/
kmeans/.git/logs/refs/heads/master
kmeans/.git/logs/refs/remotes/
kmeans/.git/logs/refs/remotes/origin/
kmeans/.git/logs/refs/remotes/origin/HEAD
kmeans/.git/objects/
kmeans/.git/objects/09/
kmeans/.git/objects/09/3949a61a1109c210ad3a93930e2f9fcc2658be
kmeans/.git/objects/09/6d6c02e1e7ecd9743ffce71df0ec033dce1cb0
kmeans/.git/objects/09/fb8bcd1e948f867b2f91d7482814938389cdf2
kmeans/.git/objects/10/
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kmeans/.git/objects/19/
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kmeans/.git/objects/27/
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kmeans/.git/objects/29/
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kmeans/.git/objects/30/
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kmeans/.git/objects/32/
kmeans/.git/objects/32/c7ff1ff50f7f6d5d6edbb5c4b97e2e759f2038
kmeans/.git/objects/35/
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kmeans/.git/objects/35/993f98d76cae16dd8d6e471ccbe00dd2de1f86
kmeans/.git/objects/3d/
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kmeans/.git/objects/42/
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kmeans/.git/objects/89/
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kmeans/.git/objects/91/
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kmeans/.git/objects/92/
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kmeans/.git/objects/a0/
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kmeans/.git/objects/aa/
kmeans/.git/objects/aa/0fdddf16eb42fffa136f5f47465356270516b4
kmeans/.git/objects/ab/
kmeans/.git/objects/ab/99c494abf8d1d6514923ca689eff3550768bb2
kmeans/.git/objects/b8/
kmeans/.git/objects/b8/bd0267bdf1a5e02793430b53cbbebd6c257f6f
kmeans/.git/objects/ba/
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kmeans/.git/objects/bc/
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kmeans/.git/objects/c2/
kmeans/.git/objects/c2/b5842c4b1420897a9746557389c4a89ec1b802
kmeans/.git/objects/c6/
kmeans/.git/objects/c6/7fbdefb83a999779354661da8910623be6ee16
kmeans/.git/objects/cd/
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kmeans/.git/objects/d5/
kmeans/.git/objects/d5/3f6f047ca26ef5cc52904cab438e73c393db3a
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kmeans/.git/objects/e5/
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kmeans/.git/objects/ea/
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kmeans/.git/objects/ea/ce20f2497765d24bbde624dd01012251ab7c23
kmeans/.git/objects/f3/
kmeans/.git/objects/f3/e572ff8b636c4b7ba494dba19d4b4709abf74b
kmeans/.git/objects/fd/
kmeans/.git/objects/fd/f16b4ba7560405e05c9648c1d4d260a14458b3
kmeans/.git/objects/info/
kmeans/.git/objects/pack/
kmeans/.git/packed-refs
kmeans/.git/refs/
kmeans/.git/refs/heads/
kmeans/.git/refs/heads/master
kmeans/.git/refs/remotes/
kmeans/.git/refs/remotes/origin/
kmeans/.git/refs/remotes/origin/HEAD
kmeans/.git/refs/tags/
kmeans/.gitignore
kmeans/LICENSE
kmeans/README.md
kmeans/clients.dat
kmeans/datasets/
kmeans/datasets/dataset1.txt
kmeans/datasets

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