搜索资源列表
K-mean
- 基于纹理度量的图像分割，适用于遥感图像，主要利用到K-mean算法。-Image segmentation based on texture measurement for remote sensing image, the main advantage of K-mean algorithm.
K-MEANS
- 该文档主要讲述的是K-means算法分析Iris数据集-The document covers the K-means algorithm for Iris data set
k-means
- k-means算法 通过c++来实现，编译已通过，簇的分类 -acheive k-means
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 constrai
km
- KMEANS源代码：k-means 聚类算法 图像处理分割-KMEANS源代码：k-means clustering algorithm for image processing segmentation
K-means-althogrim
- K-Means算法的并行化研究，划分聚类的算法，K-Means算法及改进算法。并行策略，PVM系统简介。-Parallel K-Means algorithm research, by clustering algorithm, K-Means algorithm and improved algorithm. Parallel strategy, PVM Introduction.
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
- 这个目录包含了K - means算法的代码实现。源代码可以发现在KMEANS.CPP。样本数据isfound在KM2.DAT。 KMEANS程序接受输入向量的组成和计算使用K - means算法的集群中心。输出被定向到屏幕上。 -This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP
k-means
- k-means算法，用于聚类,是一种机器学习的典型算法- k-means, used to clustering
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.
11
- K均值，随机产生一组数据并加以聚类，是学习图像处理的基础-K-means, random values, and clustering
k-means
- k-means算法的c++实现，写的比较不错，传上来加加分-k-means algorithm c++ implementation, written in relatively good transfer points up Gaga
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
k-means-in-java
- k-means算法的java描述，用java语言编写的k-means算法，用于聚类和分类-K-means algorithm java is described, using java language k-means algorithm, for clustering and classification
K-means-clustering-experiments
- k-means算法实现，数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
k-means-cl266639182001
- K-means算法的聚类分析 Visual basic版本-K-means Clustering
k-means
- 简单的k-means算法 简单的实现简单数据的分类。-Simple k-means algorithm is simple to achieve the classification of simple data.
k-means-
- 这个文档提供了几种k-means算法的改进流程图与思路-This document provides an improvement of several k-means algorithm flowchart and ideas
K-means
- K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大。这是一本介绍K-means算法的英文书籍 -K-means algorithm is very typical distance-based clustering algorithm, using distance as the similarity evaluation, that the closer the