搜索资源列表
dbscan_
- 数据挖掘中DBSCAN聚类算法的实现，用python语言实现，亲测可用。-The realization of DBSCAN clustering algorithm in data mining, using Python language to achieve, pro test available.
kmeans
- 最简单易懂的聚类方法，用python实现k-means对数据的聚类-The most straightforward clustering method, using python to achieve k-means clustering of data
bikmeans
- 用python实现的二分k-means聚类方法，比k-means效率更高-With half of k-means clustering method python achieve higher efficiency than k-means
dpa
- 2014年12月science新给出的dpa聚类算法的python实现-December 2014 science given new clustering algorithm python achieve dpa
K-Means-master
- 模糊C均值聚类算法的PYTHON实现，在UCI的IRIS数据集上实现-Fuzzy C-means clustering algorithm PYTHON realization, implemented on UCI s IRIS data set
Cluster
- 机器学习和数据挖掘中常用的K-means聚类算法，包含两个文件，kmeans.py是Python实现代码，bank-data.csv是测试数据-Machine learning and data mining commonly used K-means clustering algorithm contains two files, kmeans.py is a Python implementation code, bank-data.csv test data
kmeans
- 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)