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.
標簽： the decision clusters Cluster
上傳時間： 2013-12-21
上傳用戶：gxmm
簡要介紹mean-shift算法的原理，并且在圖像處理方面的應(yīng)用
標簽： mean-shift 算法
上傳時間： 2014-01-07
上傳用戶：釣鰲牧馬
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.
標簽： Component Principal Analysis bilinear
上傳時間： 2016-02-07
上傳用戶：zuozuo1215
一個聚類算法用K-mean處理后迭代，論文發(fā)表在PAK
上傳時間： 2013-12-09
上傳用戶：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).
標簽： zero-mean Generate sequence variance
上傳時間： 2016-03-04
上傳用戶：朗朗乾坤
Analysis of PHY waveform Peak to Mean Ratio and Impact on RF Amplification
標簽： Amplification Analysis waveform Impact
上傳時間： 2014-01-15
上傳用戶：hgy9473
mean shift
上傳時間： 2016-03-14
上傳用戶：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
標簽： carefully functions specific package
上傳時間： 2016-03-30
上傳用戶：小儒尼尼奧
k-mean算法演示，利用手工輸入點通過k類自動聚合
上傳時間： 2016-04-09
上傳用戶：shanml
c-mean聚類算法源代碼，通過對輸入數(shù)據(jù)進行訓(xùn)練和分類類別設(shè)定，能夠得到數(shù)據(jù)的聚類圖。
上傳時間： 2013-12-26
上傳用戶：colinal
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