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KevinZonda · May 20, 2024 · f5921f6 · f5921f6
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diff --git a/3-Unsupervised/AutoEncoder.md b/3-Unsupervised/AutoEncoder.md
diff --git a/3-Unsupervised/3.1-DBScan.md → Clustering/DBScan.md b/3-Unsupervised/3.1-DBScan.md → Clustering/DBScan.md
diff --git a/Clustering/GMM.md b/Clustering/GMM.md
@@ -0,0 +1 @@
+# 高斯混合模型
diff --git a/Clustering/Hierarchical.md b/Clustering/Hierarchical.md
diff --git a/Clustering/README.md b/Clustering/README.md
@@ -0,0 +1 @@
+# 聚类算法
diff --git a/2-Supervised/2.9-kNN.md → Clustering/kNN.md b/2-Supervised/2.9-kNN.md → Clustering/kNN.md
diff --git a/Continue-Pathway.md b/Continue-Pathway.md
@@ -14,4 +14,25 @@
 
 - 自然语言处理：
   - [深度学习](./4-DeepLearning/)
-  - [序列模型](./5-SequenceModel/)
+  - [序列模型](./5-SequenceModel/)
+
+- 数据科学与数据分析：
+- [聚类算法](./Clustering/)
+- [数据挖掘与数据分析](./DataMining/)
+
+适用于伯明翰大学学生的建议：
+
+- 大一：
+  - [聚类算法](./Clustering/)
+- 大二：
+  - [信息论](./3-InformationTheory/)
+  - [Old School](./OldSchool/)
+- 大三：
+  - Nerual Computation:
+    - [深度学习](./4-DeepLearning/)
+  - Machine Learning:
+    - [学习理论](./7-LearningTheory/)
+  - Intelligent Data Analysis:
+    - [数据挖掘与数据分析](./DataMining/)
+  - Natural Language Processing:
+    - [序列模型](./5-SequenceModel/)
diff --git a/SUMMARY.md b/SUMMARY.md
@@ -39,19 +39,29 @@
   - [生成对抗网络 GAN](./4-DeepLearning/4.x-GAN.md)
   - [自注意力机制与 Transformer [WIP]](./4-DeepLearning/4.x-SelfAttention.md)
 
-- [信息论](./3-InformationTheory/README.md)
-  - [自信息与熵](./3-InformationTheory/1-InfoAndEntropy.md)
-  - [联合熵、条件熵、散度与互信息](./3-InformationTheory/2-CondEntropyAndD.md)
 - [序列模型](./5-SequenceModel/README.md)
   - [循环神经网络 RNN](./5-SequenceModel/5.1-RNN.md)
   - [长短时记忆网络 LSTM](./5-SequenceModel/5.2-LSTM.md)
   - [Transformer [WIP]](./5-SequenceModel/5.5-Transformer.md)
-- [优化](./6-Optimisation/README.md)
-  - [凸函数](./6-Optimisation/6.1-Convex.md)
+
+- [聚类算法 [WIP]](./Clustering/README.md)
+  - [层次聚类 [WIP]](./Clustering/Hierarchical.md)
+  - [K近邻 [WIP]](./Clustering/kNN.md)
+  - [DBScan [WIP]](./Clustering/DBScan.md)
+  - [高斯混合模型 GMM [WIP]](./Clustering/GMM.md)
+
 - [数据挖掘与数据分析 [WIP]](./DataMining/README.md)
   - [PCA [WIP]](./DataMining/PCA.md)
   - [SVD [WIP]](./DataMining/SVD.md)
   - [随机森林 [WIP]](./DataMining/RandomForest.md)
+
+- [优化](./6-Optimisation/README.md)
+  - [凸函数](./6-Optimisation/6.1-Convex.md)
+
+- [信息论](./3-InformationTheory/README.md)
+  - [自信息与熵](./3-InformationTheory/1-InfoAndEntropy.md)
+  - [联合熵、条件熵、散度与互信息](./3-InformationTheory/2-CondEntropyAndD.md)
+
 - [学习理论](./7-LearningTheory/README.md)
 
 [代码附录](./Code.md)