搜索资源列表
K-Means_Text_Cluster
- K-Means文本聚类python实现，文本聚类算法，人名排除歧义-Text Cluster by the algorithm of K-means(include texts)， discrimination of name ambiguity.
affinity_propagation_
- Affinity propagation聚类算法的python编程文件！-Affinity propagation clustering algorithm python programming file!
clustering
- python实现的聚类算法，2015年研究生数学建模第3小题b问；-a spectral clustering algorithm wrote by python
kmedoids
- K-medoids聚类算法的PYTHON版本，其它语言版本可以根据同一个原理进行改写-K-medoids cluster code in the version of python
dbscan_python
- DBSCAN聚类算法的PYTHON版本，其它语言版本可以根据相同的原理修改得到-DBSCAN CLUSTER CODE in the version of python
k-means.py
- k－means算法的python直接通过word2vec生成的向量空间数据放入，可直接获得所需要的聚类结果。可以自己设定输出的类别数目。-K-means algorithm directly into the vector space data generated by word2vec, you can directly obtain the desired clustering results. You can set the number of output categories.
python
- 简单的gmm聚类demo。 简单的gmm聚类demo。- U7B80 u5355 u7684gmm u808A u802A u7C2B u2002
pcv-book-code-master
- pcv源码 图形聚类的多种算法~~~~~~~~~~~~~~~~~~~~~python(pcv code which for image clustering)
SOMPY-master
- som自组织神经网络聚类算法的python实现(Implementation of SOM clustering algorithm based on Python)
Gaussian Mixture Model Ellipsoids
- 基于2个一维高斯模型组成的多维混合高斯模型，采用Python进行编程(Multidimensional mixed Gauss model based on 2 one-dimensional Gauss models and programming with Python)
ChineseChuLi
- 中文文本处理的python程序，包括分词、删除特殊字符、删除停用词、爬虫程序、PCA降维、Kmean聚类、可视化等(Python programs for Chinese text processing, including participle, deleting special characters, deleting disuse words, crawler programs, PCA dimensionality reduction, Kmean clustering, visuali
plot_classifier_comparison
- 基于Pythoon的数值聚类分类算法，基于Python的三维立体点的空间最近邻分类(This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. Two consequences of imposing a connectivity can b
机器学习常用方法
- 机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)
Kmeans
- python实现的k-means聚类算法(k-means clustering algorithm implemented by python)
python实现代码、测试数据集及结果
- 密度距离矩阵优化聚类算法python实现(Python implementation of density distance matrix optimization clustering algorithm)
kNN
- 这是用于描述KNN聚类的python源代码，可以结合各位实际的需要使用(This is the python source code used to describe KNN clustering. It can be combined with your actual needs.)
30号作业
- python实现密度峰值聚类 及相关测试数据机(Python realizes density peak clustering)
模糊聚类分析法（python)
- 运用python进行模糊聚类分析步骤如下：建立数据矩阵；数据标准化；建立模糊相似矩阵；改造相似关系为等价关系；确定分类数(The steps of Python fuzzy clustering analysis are as follows: establishing data matrix; standardizing data; establishing fuzzy similarity matrix; transforming similarity relation into equiv
Subtractive-Clustering-Algorithm-master
- 能够实现减法聚类，通过减法聚类对数据进行分类，使用python编程(It can realize subtraction clustering and use Python Programming)
基于t-SNE降维的学生成绩聚类模型
- 使用Python编写的小程序代码，基于t-SNE降维的学生成绩聚类模型。(Clustering model of students' performance based on t-sne dimension reduction)