文本聚类
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data
- 存放数据
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Kmeans
- 基于KMeans的无监督中文文本聚类
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DBSCAN
- 基于DBSCAN的无监督中文文本聚类
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LatentDirichletAllocation
- 基于LDA的无监督文本聚类
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Single_Pass
- 基于single pass 策略进行聚类,不需要事先设置类别数
文本聚类(Kmeans、DBSCAN、LDA、Single-pass)
License: Apache License 2.0
你好,可以添加一个license吗?方便引用下
无序属性的数据不能直接扔到聚类算法里去做,不然结果就会很奇怪,就像你这个结果一样
KMeans:{4: [0, 1, 2, 3, 4], 2: [5, 6, 7, 8, 9], 0: [10, 11, 12, 13, 14], 3: [15, 16, 17, 18, 19], 1: [20, 21, 22, 23, 24]}
Dbscan:{0: [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14], -1: [7, 8, 15, 16, 17, 18, 19, 21], 1: [20, 22, 23, 24]}
完全没挖掘出数据的有价值的东西啊
File "sklearn/cluster/_k_means_elkan.pyx", line 145, in sklearn.cluster._k_means_elkan.k_means_elkan
ValueError: Buffer dtype mismatch, expected 'double' but got 'float'
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