搜索资源列表
k-means.c++
- k-means算法 C++实现-k-means algorithm to achieve C
Simple-K-means
- 2个举类的简单k-means算法，非常简单，新手给大家提供参考了-two categories give a simple k-means algorithm is very simple, and newcomers to provide a reference to the
K-MEANS算法实现
- K-MEANS算法实现
k均值
- k均值分类实现
K-MEANS 演算法
- K-MEANS 演算法
k-means-and-cure-in-Iris-Data-Set
- 聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE，采用的数据集是：Iris Data Set，数据集中共包含150组数据信息。 材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means
kMean
- clustering的经典k-mean算法源程序，VB代码-clustering k-mean algorithm, in VB
Ckmedoids
- K-mean算法，并通过了IRIS数据的测试。-K-mean algorithm, and through the IRIS data testing.
kmeansclustering
- K means clustering using php.
KNN
- K Nearest Neighbor algorithm Implementation and Overview
K-mean
- K均值算法： 给定类的个数K，将N个对象分到K个类中去， 使得类内对象之间的相似性最大，而类之间的相似性最小-K-means algorithm: the number of a given type of K, will be assigned to N objects of category K go, making the object category similarity between the largest, while the category of the simi
clara
- CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
M-K
- M-K test for climate research-M-K test
r-K
- 数值分析中R-K迭代算法，用于矩阵的求解问题-RK iterative algorithm in numerical analysis, solving problems for the matrix
k
- 油管车容量计算，根据h/d参数，转换出k值，便于计算-123
k-meanscluster
- K-means聚类算法的VC实现，算法简单-K-means clustering algorithm to achieve VC algorithm is simple
Mining
- Mining Top-K Frequent Closed Patterns without Minimum Support
Seeking-K!-The-connection-plus
- 编写一个计算k!的递归函数，其函数名返回K!的值。再编写一个主函数，从键盘输入m和n的值（n>=m>=0）,然后调用计算K!的递归函数计算-Write a calculation k! recursive function, the function name returned K! value. Then write a main function from the keyboard input m and n (n> = m> = 0), then call the
K-means-algorithm-source-code
- K-means算法源码,一个牛人给的，挺经典的，值得学习。-K-means algorithm source code, a person to cattle, and very classic, it is worth learning.
k-meansPgenetic_hybride
- HGK, an hybrid algorythm with k-means and genetic applied on a small dataset for clustering (finding patterns and approximative solutions). have to run k-means befor lunching the HGK