搜索资源列表
MATLABfuzzy-K-means
- MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
k-means
- k-means算法。包括一个测试的4类的测试数据集。
k-means
- 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,
dataMining.rar
- 数据挖掘的软件,集成了关联规则、k-均值聚类、模糊聚类、k-中心点聚类四种算法,software of data mining
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
demo
- 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
k-means
- k-均值聚类算法c语言版用于划分聚类,适合用于数据挖掘之中-k-means clustering algorithm c language version
k-means
- k-means实现 用于数据挖掘的著名的算法 非常使用-k-means to achieve for the well-known data mining algorithm is the use of
k-means
- 关于数据挖掘中的k-means算法的一种C语言实现-Data Mining on the k-means algorithm as a C language
K-means
- 通过对聚类分析及其算法的论述,从多个方面对这些算法性能进行比较,同时以儿童生长发育时期的数据为例通过聚类分析的软件和改进的K-means算法来进一步阐述聚类分析在数据挖掘中的实践应用。-Through cluster analysis and discussion of algorithms, from a number of aspects of the performance of these algorithms compared to growth and development of
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.
k-means
- 本文详细地介绍了k-means算法和一种改进的K-means算法,即基于成对约束的Cop-kmeans算法。该算法结合了Must-Link和Cannot-Link约束,数据对象在这两类约束的“监督”下进行划分。-This paper introduces the k-means algorithm and an improved K-means algorithm, which is based on pairwise constraints Cop-kmeans algorithm. The
K-means
- K-均值聚类算法程序,数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
k-means--source-code
- k-means算法,已附数据文件。其中文件第一行的3个数字分别为数据数量、数据维度和所需聚类数-k-means algorithm, is attached data files. Which documents the first line of three figures were the amount of data, data dimension and the required number of clusters
K-means
- 机器学习 模式识别 二维K-means实现 包括代码、数据和实验-Machine learning pattern recognition, including two-dimensional K-means to achieve code, data and experimental
K-means
- 一种K-均值算法附有测试数据,希望给学习聚类的提供一点帮助-One kind of K-means algorithm with test data, clustering offers hope to learn a little help
K-means
- 聚类算法(K-means)源代码,通过对该代码的运行,可以实现对各种数据的聚类显示,最终选出聚类中心-Clustering algorithm (K-means) source code, run through the code, can display a variety of data clustering, selected a cluster center
K-Means
- 数据挖掘K-means算法实现,源码,是大家学习的好资源啊-DM(data mining)
K-means
- k-means算法实现,对于要聚类的数据,可以对代码进行更改,读入自己的数据-This code implentents the K-means algorithm
Improved K-means
- 基于数据密度自动计算最佳K聚类中心,对数据进行聚类(The best K clustering center is automatically calculated based on data density to cluster data.)