remove minor category of notes, and instead put it into issue szcf-we…

…iya#138
vvvvdyc · Oct 16, 2021 · 82682ab · 82682ab
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diff --git a/docs/notes/Graph/data/info → data/ProteinFlowCytometry/README.md b/docs/notes/Graph/data/info → data/ProteinFlowCytometry/README.md
diff --git a/docs/notes/Graph/data/covariance-mat.txt → .../ProteinFlowCytometry/sachs.covmatrix.txt b/docs/notes/Graph/data/covariance-mat.txt → .../ProteinFlowCytometry/sachs.covmatrix.txt
@@ -8,4 +8,4 @@
 -23.46593 -38.87807 -21.65298 -34.17146 0.1373686 6.54052 -1.106839 415.3279 -9.539146 -57.8684 -24.80954
 4.460695 7.659138 5.739805 9.370045 -0.1301199 0.5595222 4.853548 -9.539146 8.624844 44.06165 16.30311
 26.78380 45.62307 32.51291 52.81752 -0.6544886 3.075708 27.34078 -57.8684 44.06165 244.7962 85.19911
-10.28612 18.00413 15.38182 24.70565 -0.3764559 1.543320 13.07754 -24.80954 16.30311 85.19911 46.50951
+10.28612 18.00413 15.38182 24.70565 -0.3764559 1.543320 13.07754 -24.80954 16.30311 85.19911 46.50951
diff --git a/docs/notes/Graph/data/data.txt → data/ProteinFlowCytometry/sachs.data.txt b/docs/notes/Graph/data/data.txt → data/ProteinFlowCytometry/sachs.data.txt
@@ -7463,4 +7463,4 @@
 -100.7719 -140.7710 -37.05364 -129.0207 -12.13496 22.06881 -13.86721 296.2414 -29.34166 -125.1945 -72.2675
 -95.97193 -140.8910 -36.05364 -130.9207 -16.83496 -23.55119 -59.26721 104.2414 -29.34166 -133.2645 -71.2675
 -89.47193 -138.2810 -49.12364 -130.4207 -11.93496 5.568807 -39.76721 187.2414 14.15834 1246.985 -70.8275
--93.57193 -144.3710 -47.55364 21.87926 -4.134962 -20.02119 -67.46721 264.2414 -29.34166 -134.0145 -71.6175
+-93.57193 -144.3710 -47.55364 21.87926 -4.134962 -20.02119 -67.46721 264.2414 -29.34166 -134.0145 -71.6175
diff --git a/docs/notes/HighDim/sim18_1.md b/docs/notes/HighDim/sim18_1.md
@@ -6,21 +6,21 @@
 | 发布 | 2017-12-29 |
 | 更新 | 2018-02-04 |
 
-本笔记是[ESL18.1节](https://esl.hohoweiya.xyz/18%20High-Dimensional%20Problems/18.1%20When%20p%20is%20Much%20Bigger%20than%20N/index.html)例子的模拟。
+本笔记是[ESL18.1节](/18-High-Dimensional-Problems/18.1-When-p-is-Much-Bigger-than-N/index.html)例子的模拟。
 
 ## 生成数据
 
-生成$N$个样本，每个样本都是$p$个成对相关系数为0.2的标准高斯特征$X$.
+生成 $N$ 个样本，每个样本都是 $p$ 个成对相关系数为 0.2 的标准高斯特征 $X$.
 
 ```R
+library(MASS)
 genX <- function(p, N = 100){
   # mu
   mu = numeric(p)
   # due to var(x_j) = 1
   # covariance matrix equals to correlation matrix
   Sigma = matrix(0.2, nrow=p, ncol=p)
   diag(Sigma) = 1
-  library(MASS)
   X = mvrnorm(N, mu, Sigma)
   if (is.null(dim(X)))
     X = matrix(X, ncol = p)

diff --git a/mkdocs.yml b/mkdocs.yml
@@ -193,10 +193,7 @@ pages:
   - 个人笔记:
     - 笔记列表: 
       - 列表: 'notes/ipynb/list.md'
-    - 习题解答: 
-      - 索引: 'notes/manual.md'
-      - 习题 Ex. 17.7: 'notes/Graph/ex-17-7.md'
-    - 模拟实验:
+    - 实验重现:
       - 模拟 Fig. 3.18: 'notes/linear-reg/sim-3-18.md'
       - 模拟 Fig. 4.3: 'notes/LDA/sim-4-3.md'
       - 模拟 Fig. 4.5: 'notes/LDA/sim-4-5.md'
@@ -210,7 +207,6 @@ pages:
       - 模拟 Eq. 10.2: 'notes/boosting/sim-eq-10-2.md'
       - 模拟 Tab. 12.2: 'notes/SVM/skin-of-the-orange.md'
       - 模拟 Fig. 9.7: 'notes/tree/sim-9-7.md'
-    - 算法实现:
       - 算法 Alg. 17.1: 'notes/Graph/alg-17-1.md'
     - 比较总结:
       - 估计高斯混合模型参数的三种方式: 'notes/Mixture-Gaussian.md'