# text_clustering
> 文本聚类
## 目录
- data
- 存放数据
- Kmeans
- 基于KMeans的无监督中文文本聚类
- DBSCAN
- 基于DBSCAN的无监督中文文本聚类
- LatentDirichletAllocation
- 基于LDA的无监督文本聚类
- Single_Pass
- 基于single pass 策略进行聚类，不需要事先设置类别数
包含KMeans、DBSCAN、LDA和Single_Pass的文本聚类算法程序（python实现）课设
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2022-06-14
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text_clustering.zip （35个子文件） 
text_clustering 
README.md 356B Single_Pass single_pass_cluster.py 3KB Kmeans KmeansClustering.py 3KB LICENSE 11KB DBSCAN DbscanClustering.py 3KB data 
test_data.txt 82KB test_data2.txt 1KB stop_words.txt 14KB LatentDirichletAllocation LatentDirichletAllocationClustering.py 3KB .git HEAD 23B packed-refs 114B index 1KB objects pack pack-37b14135d7704c89c9e842e6b5462cd9598c2ab4.pack 60KB pack-37b14135d7704c89c9e842e6b5462cd9598c2ab4.idx 3KB info description 73B config 313B info exclude 240B hooks pre-applypatch.sample 424B pre-commit.sample 2KB pre-merge-commit.sample 416B applypatch-msg.sample 478B pre-rebase.sample 5KB commit-msg.sample 896B prepare-commit-msg.sample 1KB update.sample 4KB pre-receive.sample 544B fsmonitor-watchman.sample 5KB push-to-checkout.sample 3KB post-update.sample 189B pre-push.sample 1KB logs HEAD 180B refs heads master 180B remotes origin HEAD 180B refs tags heads master 41B remotes origin HEAD 32B
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