To date tests are still the best solution mankind has found to deliver working software. This book is the sum of four years of research and practice in the testing field. The practice comes from my IT consulting background, first at Octo Technology and then at Pivolis the research comes from my involvement with open source development at night and on weekends.
标签： solution software mankind deliver
上传时间： 2014-01-11
上传用户：sclyutian
This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
标签： code implementing directory algorithm
上传时间： 2014-01-15
上传用户：woshini123456
k-means是一种经典的聚类算法，这是用java实现k-means的源码，其中包括了测试数据文件
上传时间： 2014-01-11
上传用户：lizhizheng88
模式识别中K均值算法的示例程序，可对一组数据分类并图形输出分类结果。
上传时间： 2013-12-23
上传用户：yph853211
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
标签： quantization k-nearest algorithm decision
上传时间： 2016-02-07
上传用户：zhyiroy
The best new for ucos ebook
上传时间： 2016-02-14
上传用户：watch100
这是一个关于K均值的聚类算法希望对大家有用
上传时间： 2016-02-15
上传用户：ma1301115706
选择第k小的元素，c语言 partition 要好好看看 理解函数意思
标签： 元素
上传时间： 2016-02-19
上传用户：ukuk
use keil C program for LCD1602 display. best for your use.
上传时间： 2014-01-04
上传用户：xiaoyunyun
