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
PCA and PLS aims:to get some insight into the bilinear factor models Principal Component Analysis (PCA) and Partial Least Squares (PLS) regression, focusing on the mathematics and numerical aspects rather than how s and why s of data analysis practice. For the latter part it is assumed (but not absolutely necessary) that the reader is already familiar with these methods. It also assumes you have had some preliminary experience with linear/matrix algebra.
标签： Component Principal Analysis bilinear
上传时间： 2016-02-07
上传用户：zuozuo1215
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
Generate 100 samples of a zero-mean white noise sequence with variance , by using a uniform random number generator. a Compute the autocorrelation of for . b Compute the periodogram estimate and plot it. c Generate 10 different realizations of , and compute the corresponding sample autocorrelation sequences , and . Compute the average autocorrelation sequence as and the corresponding periodogram for . d Compute and plot the average periodogram using the Bartlett method. e Comment on the results in parts (a) through (d).
标签： zero-mean Generate sequence variance
上传时间： 2016-03-04
上传用户：朗朗乾坤
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
Please read them carefully before you write the package to their specific functions (at least 20 characters). As far as possible not to let the station for the time you have spent on that amendment. Have to extract the password to the password
标签： carefully functions specific package
上传时间： 2016-03-30
上传用户：小儒尼尼奥
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
