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K-means-clutering-algorithm
- K均值算法，用于数据聚类，是一切数据聚类学习的基础，经常被后来学者学习和改进-K-means clubing algorithm
K-means
- 经典的K均值聚类，源码加利用三维高斯简单数据的实现对三类数据的聚类-Achieve the effect of classical K-means clustering, plus simple data
k-means-cluster
- 运用k均值的方法按照一定的规则将离散的数据进行聚类处理-Using k-means method in accordance with certain rules discrete data clustering
K-means
- K-means算法,一种聚类方法，其每个类别均用该类中所有数据的平均值（或加权平均值）来表-K-means Algorithm
K-means-clustering
- 一个关于matlab在K均值聚类方法中的应用程序包，可运行，包含一个函数文件、一个可执行文件和一个数据文件。希望有所帮助！-a code package about K-means clustering method on matlab,including one function files,a run files and one data file.it is helpful.
k--means-
- k-means算法的解释，采用txt中的数据进行分类-explanation of k-means algorithm, using the data in the classification txt
dimensionality-reduction-and-k-means
- 1.使用k-svd对数据进行稀疏表示，降维 2.使用k-means对上述数据聚类-1.use k-svd to reduce the dimensions of data 2.clster the data by k-means
k-means
- k均值聚类算法，模式识别大作业，适用于数据挖掘学习-k-means clustering algorithm, pattern recognition big job learning for data mining
k-means-iris
- 运用k-means算法对IRIS数据集进行聚类分析-K-means algorithm is appliled to do cluster analysis for IRIS dataset.
fuzzy-K-means
- 代码是一种数据挖掘算法，fuzzy-K-means，对数据进行分类-The code is a data mining algorithms, fuzzy-K-means, data classification
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
K-means-clustering-algorithm
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-K-means clustering is one of the most famous partitioning clustering algorithm, due to the simplicity and efficiency makes him become the most widely used
K-means-Clustering
- 根据模拟数据进行K均值聚类实验，有原始数据，聚类代码和相关图片，程序可用！-Analog data according to K-means clustering experiment, the original data, clustering code and picture, the program is available!
K-MEANS
- k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
K-Means
- 本人上传的源代码用于实现数据挖掘领域中中的分内算法，K-means算法，算法的分割结果比较准确，是你的绝佳选择-I upload source code for implementing data mining in the field since the beginning of the algorithm, the segmentation result K-means algorithm, the algorithm is more accurate, you are a great ch
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.
K-means
- K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。-K-means clustering algorithm is hard, is a typical prototype-based clustering method objective function representative, which is a method of data points to a certain d
All_Clu
- K-means，PSOKM，ACKM三种聚类算法，数据集适用于K-means，在PSO上效果不好，AC有改进(Including K-means, PSOKM, ACKM three clustering algorithms, the data set applies to K-means, clustering on PSOKM is not good, clustering in ACKM has improved.)
k-means算法2
- 使用该算法可以实现数据的聚类分析，非常适合初学者。(The algorithm can be used to achieve clustering analysis of data, ideal for beginners.)
数据挖掘关于Kmeans算法的研究(含数据集)
- 数据挖掘关于Kmeans算法的研究(含数据集)(Research on data mining about Kmeans algorithm (including data sets))