搜索资源列表
k-meanss
- 模式识别作业，Ｃ程序编写的Ｋ－均值算法．-pattern recognition work, the C programming K-means algorithm.
wawatextcluster
- 蛙蛙的中文文本聚类，主要采用k-means算法。wawa s text cluster using C#.
K-means
- 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现， 针对一维数据集K-means算法的实现。-k-means
KMeansClusterConsole
- K均值聚类算法，取前k个点为初始聚类中心，然后进行迭代聚类-K means clustering algorithm, fetch the first k points as initial cluster centers, then the iterative clustering
kmean2
- 用VC写的关于k-mean聚类算法的程序。-Written by VC on the k-mean clustering algorithm procedure.
clustering
- 一种聚类算法的源代码，用的是k-means，很好用的，我试过-a kind of algorithm for clustering
kmeans
- C# 聚类k-means 建立tf*idf的聚类过程-C# cluster for every one
k-means
- 用C++实现k-mean聚类算法并进行初级的数据挖掘，-Using C++, k-mean clustering algorithm and a preliminary data mining,
KMeans
- k-means clustering algorithms
KMeansDemo
- A k-means demo ! Hope you can enjoy it !
k_means
- k均值聚类算法，可以完成k均值聚类运算。实现几个点的聚类-k means clustering algorithm, k means clustering operation can be completed. Clustering to achieve several points
Kmean
- K - MEANS CLUSTERING-K - MEANS CLUSTERING
K-means
- k-means 算法 step1 初始化K个质心 step2 将所有的点分配给最近的质心 step3 更新质心 step4 若质心都没用变化,则停止,否则返回step2 -k-means algorithm is initialized step1 step2 K a center of mass of all the points assigned to the nearest centroid centroid step3 step4 update no us
TextClusteringKmeans
- 从文本文件读入文本，分词，去停顿词，然后利用kmeans进行文本聚类-Text Clustering with K means
accord-kmeans-source
- K-Mean clustering source code
K-means-cSharp--code
- k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
K-Means
- K-means 算法的一种C# 实现,数据挖掘聚类算法-K-MEANS ALGORITHM
New-Revised-K-means
- New revised K-means聚类算法，为matlab函数，需要调用才能使用-New revised K-means clustering algorithm for matlab function, you need to call in order to use
K-means_C
- K均值聚类算法，由C语言编写，可以自己调整迭代次数，超级好用-K-means clustering algorithm, the C language, you can adjust their iterations, super easy to use
K均值聚类
- k均值聚类。肩膀哭鬼股滚厉害话句句巨坑了你(k-means fyyggk kjb ghfch hjgkjb jknk knk klnb ugg hih hihk klhk khji.)