搜索资源列表
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
k-means
- 数据挖掘算法源代码 k-means聚类算法的C#代码-Source code data mining algorithms k-means clustering algorithm C# code
聚类K-Medoids算法
- 聚类K-Medoids算法。文件里面包含了详细的程序说明和示例。-K-Medoids clustering algorithm.The file contains a detailed descr iption of the procedures and examples.
k-means
- 基于K-means聚类算法的社团发现方法 先定义了网络中节点关联度,并构建了节点关联度矩阵, 在此基础上给出了一种基于 K-means聚类算法的复杂网络社团发现方法。 以最小关联度原则选取新的聚类中心, 以最大关联度原则进行模式归类,直到所有的节点都划分完为止, 最后根据模块度来确定理想的社团数-K-means clustering algorithm based on the association discovery To define a network node cor
The-LRU-K-page-algorithm
- LRU-k是一个在LRU基础上进行提升的算法，在处理数据队列时，使用了更有效的优先级计算方法-LRU-K is a advanced algorithm based on LRU. It computes the priorities of the data items more accurately and avoid some occasional cases.
K-means_cluster
- 这是一个基于K-means的聚类算法，可用于网页信息聚类，例如电子产品的型号聚类等。-This is based on the K-means clustering algorithm, clustering can be used for website information, such as electronic products, such as the Model Cluster.
k-means(java)
- k-means算法是基于划分的聚类方法，本算法简单，便于理解，以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
k-means1
- k-means分群法，繁体中文版。以javascr ipt写成，网页上即可执行。自动产出结果。-k-means clustering, Traditional Chinese version. Javascr ipt written to the webpage can be executed. Auto output results.
K-means
- 模式识别 k-mean算法程序，用Visual c++编写-K-mean algorithm for pattern recognition procedures, using Visual c++ Prepared
K-Means
- 这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
k-centers
- 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
K-Means
- 聚类算法主要针对k-均值法求解聚类问题，可以用于神经网络。-k-means
K
- K 最短路径 K 最短路径 代码 -improved routing algorithm used to find from source to destination node of the first k Shortest Path
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
K-Means.Algorithm
- 算法，k-mean搜索方法，执行起来很快，推荐。-Algorithm, k-mean search methods, to implement quickly, recommended.
k-means
- the C++ implementation of k-means for clustering
K-meansclusteringalgorithmmatlabprogram
- 模式识别课上的大作业，要求用K-均值算法对150个样本进行分类。-Pattern Recognition course the big job, asked to use K-means algorithm to classify 150 samples.
K-Means
- k-means 聚类方法，用c++实现。-k-means,a method of clustering, implemented in c plus plus language.
K-means
- 均值为K的聚类算法，是一种对聚类数据进行的最简单的算法，广泛应用在各种场合中。-K mean clustering algorithm for clustering data is the most simple algorithm, widely used in various occasions.
GA-k-means
- GA-k-means算法 基于遗传算法的k_means聚类方法的研究(33-48)-GA-k-means algorithm