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
简要介绍mean-shift算法的原理，并且在图像处理方面的应用
标签： mean-shift 算法
上传时间： 2014-01-07
上传用户：钓鳌牧马
一个聚类算法用K-mean处理后迭代，论文发表在PAK
上传时间： 2013-12-09
上传用户：66666
This program simulates plant identification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》
标签： identification alogrithm simulates reference
上传时间： 2013-12-17
上传用户：kristycreasy
This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document
标签： identification frequency simulates alogrith
上传时间： 2016-02-29
上传用户：kytqcool
Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification
标签： Amplification Analysis waveform Impact
上传时间： 2014-01-15
上传用户：hgy9473
mean shift
上传时间： 2016-03-14
上传用户：huql11633
k-mean算法演示，利用手工输入点通过k类自动聚合
上传时间： 2016-04-09
上传用户：shanml
c-mean聚类算法源代码，通过对输入数据进行训练和分类类别设定，能够得到数据的聚类图。
上传时间： 2013-12-26
上传用户：colinal
k－mean算法的源码，对聚类非常有用！！可以直接使用！
上传时间： 2016-04-21
上传用户：ZJX5201314
