机器学习与算法源代码13： 数据聚类与分群.zip

[{"title":"（ 24 个子文件 1.29MB ） 机器学习与算法源代码13： 数据聚类与分群.zip","children":[{"title":"机器学习与算法源代码13： 数据聚类与分群","children":[{"title":"源代码汇总_Jupyter Notebook格式（推荐）","children":[{"title":"13.1 KMeans算法.ipynb <span style='color:#111;'> 58.02KB </span>","children":null,"spread":false},{"title":"13.3 案例实战 - 新闻聚类分群模型.ipynb <span style='color:#111;'> 553.29KB </span>","children":null,"spread":false},{"title":"补充知识点2：新闻爬取 - 百度新闻爬虫.ipynb <span style='color:#111;'> 11.84KB </span>","children":null,"spread":false},{"title":"信托行业年度报告.txt <span style='color:#111;'> 399.66KB </span>","children":null,"spread":false},{"title":"补充知识点1：大数据分词.ipynb <span style='color:#111;'> 2.18MB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"13.3 案例实战 - 新闻聚类分群模型-checkpoint.ipynb <span style='color:#111;'> 553.29KB </span>","children":null,"spread":false},{"title":"Untitled-checkpoint.ipynb <span style='color:#111;'> 72B </span>","children":null,"spread":false},{"title":"13.1 KMeans算法 & 13.2 DBSCAN算法-checkpoint.ipynb <span style='color:#111;'> 93.51KB </span>","children":null,"spread":false},{"title":"13.2 DBSCAN算法-checkpoint.ipynb <span style='color:#111;'> 32.65KB </span>","children":null,"spread":false},{"title":"13.1 KMeans算法-checkpoint.ipynb <span style='color:#111;'> 58.02KB </span>","children":null,"spread":false}],"spread":true},{"title":"客户信息.xlsx <span style='color:#111;'> 11.17KB </span>","children":null,"spread":false},{"title":"13.2 DBSCAN算法.ipynb <span style='color:#111;'> 32.65KB </span>","children":null,"spread":false},{"title":"演示数据.xlsx <span style='color:#111;'> 10.38KB </span>","children":null,"spread":false},{"title":"新闻.xlsx <span style='color:#111;'> 119.20KB </span>","children":null,"spread":false}],"spread":true},{"title":"源代码汇总_PyCharm格式","children":[{"title":"13.1 KMeans算法.py <span style='color:#111;'> 2.22KB </span>","children":null,"spread":false},{"title":"13.4 补充知识点1：大数据分词.py <span style='color:#111;'> 1.36KB </span>","children":null,"spread":false},{"title":"13.3.1 案例实战 - 新闻聚类分群模型.py <span style='color:#111;'> 2.11KB </span>","children":null,"spread":false},{"title":"信托行业年度报告.txt <span style='color:#111;'> 399.66KB </span>","children":null,"spread":false},{"title":"客户信息.xlsx <span style='color:#111;'> 11.17KB </span>","children":null,"spread":false},{"title":"演示数据.xlsx <span style='color:#111;'> 10.38KB </span>","children":null,"spread":false},{"title":"新闻.xlsx <span style='color:#111;'> 119.20KB </span>","children":null,"spread":false},{"title":"13.2 DBSCAN算法.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"13.4 补充知识点2：新闻爬取 - 百度新闻爬虫.py <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"13.3.2 案例实战 - 新闻聚类分群模型.py <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]