Konata Tech Blog
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/categories/
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10 posts
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/archives/
3 categories
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/categories/
解决 docker no space left on device
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/2021-09-16-docker-no-space/
Workshop
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/categories/Workshop/
使用 Hexo + GitHub Page 自建博客
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/2021-08-08-2021-08-08-build-blog-by-hexo/
Project
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/categories/Project/
https://zhuanlan.zhihu.com/p/70240127
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https://zhuanlan.zhihu.com/p/70240127
https://github.com/next-theme/hexo-theme-next
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https://github.com/next-theme/hexo-theme-next
https://theme-next.js.org/docs/getting-started/configuration.html
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https://theme-next.js.org/docs/getting-started/configuration.html
COMA 环境配置记录
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/2021-07-23-COMA/
Project
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/categories/Project/
https://github.com/anuragranj/coma
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https://github.com/anuragranj/coma
https://blog.csdn.net/qq_41936559/article/details/104226333
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https://blog.csdn.net/qq_41936559/article/details/104226333
https://www.codenong.com/cs110955392/
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https://www.codenong.com/cs110955392/
https://github.com/MPI-IS/mesh
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https://github.com/MPI-IS/mesh
在Mac上操作文件
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/2021-06-11-mac/
Workshop
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/categories/Workshop/
https://www.jianshu.com/p/627b2d462151
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https://www.jianshu.com/p/627b2d462151
https://commandnotfound.cn/linux/1/461/rename-命令
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https://commandnotfound.cn/linux/1/461/rename-%E5%91%BD%E4%BB%A4
https://zhuanlan.zhihu.com/p/90829056
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https://zhuanlan.zhihu.com/p/90829056
https://www.zhihu.com/question/308406915
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https://www.zhihu.com/question/308406915
大型vscode真香现场
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/2020-01-16-vscode/
Workshop
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/categories/Workshop/
python-tutorial
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https://code.visualstudio.com/docs/python/python-tutorial
remote-overview
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https://code.visualstudio.com/docs/remote/remote-overview
Remote Development using SSH
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https://code.visualstudio.com/docs/remote/ssh
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#下载remote-development
Quick start: SSH key
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https://code.visualstudio.com/docs/remote/troubleshooting#_quick-start-ssh-key
使用vscode进行远程炼丹
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https://zhuanlan.zhihu.com/p/89662757
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#在vscode里用jupyter-notebook
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#连接本地的jupyter-notebook
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#连接服务器上的jupyter-notebook
http://gpu-server-2:xxxx/?token=xxxx里把gpu-server-2换成服务器ip就可以了
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http://gpu-server-2:xxxx/?token=xxxx里把gpu-server-2换成服务器ip就可以了
https://blog.csdn.net/u012332816/article/details/80801106
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https://blog.csdn.net/u012332816/article/details/80801106
ffmpeg操作速查
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/2019-11-28-ffmpeg/
Workshop
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/categories/Workshop/
用ffmpeg给视频批量加水印
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https://www.jianshu.com/p/a069df10a5fb
https://ask.csdn.net/questions/227737
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https://ask.csdn.net/questions/227737
How to batch convert/multiplex any files with ffmpeg
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https://forum.videohelp.com/threads/356314-How-to-batch-convert-multiplex-any-files-with-ffmpeg
shell学习指南
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http://c.biancheng.net/shell/
执行Shell脚本(多种方法)
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http://c.biancheng.net/view/739.html
Git操作速查
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/2019-07-12-git/
Workshop
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/categories/Workshop/
git 撤销,放弃本地修改
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https://www.cnblogs.com/qufanblog/p/7606105.html
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#处理git-push文件过大的办法
git 修改.gitignore后生效
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https://blog.csdn.net/mingjie1212/article/details/51689606
git push 推送大文件失败的处理办法
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https://www.cnblogs.com/NewBigLiang/p/7015887.html
在服务器用conda创建python环境
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/2019-07-08-conda-create-env/
Workshop
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/categories/Workshop/
https://datascience.stackexchange.com/questions/24093/how-to-clone-python-working-environment-on-another-machine
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https://datascience.stackexchange.com/questions/24093/how-to-clone-python-working-environment-on-another-machine
https://segmentfault.com/q/1010000017438362
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https://segmentfault.com/q/1010000017438362
conda cheatsheet
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http://know.continuum.io/rs/387-XNW-688/images/conda-cheatsheet.pdf
https://blog.csdn.net/liuyingying0418/article/details/84580254
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https://blog.csdn.net/liuyingying0418/article/details/84580254
https://pypi.tuna.tsinghua.edu.cn/simple
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https://pypi.tuna.tsinghua.edu.cn/simple
https://teratail.com/questions/156621
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https://teratail.com/questions/156621
python实现聚类算法
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/2019-07-08-kmeans/
Algorithm
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/categories/Algorithm/
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#sklearn包中的K-Means算法
https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py
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https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py
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#sklearn包中的K-Means算法-1
https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html#sphx-glr-auto-examples-mixture-plot-gmm-covariances-py
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https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html#sphx-glr-auto-examples-mixture-plot-gmm-covariances-py
https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html#sphx-glr-auto-examples-mixture-plot-gmm-selection-py
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https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html#sphx-glr-auto-examples-mixture-plot-gmm-selection-py
A demo of K-Means clustering on the handwritten digits data
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https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py
np.random.randint、np.random.choice、random.sample三种随机函数的用法案例
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https://blog.csdn.net/zsc201825/article/details/80918450
Clustering the US population: observation-weighted k-means
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https://towardsdatascience.com/clustering-the-us-population-observation-weighted-k-means-f4d58b370002
github-observation_weighted_kmeans
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https://github.com/leapingllamas/medium_posts/tree/master/observation_weighted_kmeans
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#第二个方法:weighted-kernel-kmeans
WEIGHTED KERNEL K-MEANS 加权核K均值算法理解及其实现(一)
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https://www.cnblogs.com/subaiBlog/p/6271315.html
tslearn.clustering.GlobalAlignmentKernelKMeans
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https://tslearn.readthedocs.io/en/latest/gen_modules/clustering/tslearn.clustering.GlobalAlignmentKernelKMeans.html#tslearn.clustering.GlobalAlignmentKernelKMeans
Weighted Graph Cuts without Eigenvectors:A Multilevel Approach
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https://www.cs.utexas.edu/users/inderjit/public_papers/multilevel_pami.pdf
Kernel k-means, Spectral Clustering and Normalized Cuts
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http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=00B899D4EBC282CC18487FE587FAD753?doi=10.1.1.140.3081&rep=rep1&type=pdf
https://www.cnblogs.com/lc1217/p/6893924.html
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https://www.cnblogs.com/lc1217/p/6893924.html
https://www.cnblogs.com/lc1217/p/6908031.html
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https://www.cnblogs.com/lc1217/p/6908031.html
https://www.cnblogs.com/lc1217/p/6963687.html
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https://www.cnblogs.com/lc1217/p/6963687.html
https://www.jianshu.com/p/a4d8fa39c762
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https://www.jianshu.com/p/a4d8fa39c762
https://www.jianshu.com/p/13898e68c5c6
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https://www.jianshu.com/p/13898e68c5c6
https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
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https://scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html
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https://scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_score.html
https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py
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https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_digits.html#sphx-glr-auto-examples-cluster-plot-kmeans-digits-py
https://scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
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https://scikit-learn.org/stable/modules/generated/sklearn.mixture.GaussianMixture.html
https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html#sphx-glr-auto-examples-mixture-plot-gmm-selection-py
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https://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html#sphx-glr-auto-examples-mixture-plot-gmm-selection-py
scikit-learn使用PCA降维小结
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/2018-11-30-pca/
Algorithm
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/categories/Algorithm/
http://www.cnblogs.com/pinard/p/6239403.html
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http://www.cnblogs.com/pinard/p/6239403.html
https://www.cnblogs.com/pinard/p/6243025.html
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https://www.cnblogs.com/pinard/p/6243025.html
https://github.com/konatasick/machine_learning_note/blob/master/pca.ipynb
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https://github.com/konatasick/machine_learning_note/blob/master/pca.ipynb
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#scikit-learn的sklearn-decomposition-PCA参数介绍
https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
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https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html
https://www.cnblogs.com/pinard/p/6243025.html
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https://www.cnblogs.com/pinard/p/6243025.html
Hexo
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https://hexo.io/
NexT.Mist
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https://theme-next.js.org/mist/