KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
標簽： CENTRES KMEANS OPTIONS cluster
上傳時間： 2014-01-07
上傳用戶：zhouli
杭電 ACM 1002 I have a very simple problem for you. Given two integers A and B, your job is to calculate the sum of A + B.
標簽： integers problem calcul simple
上傳時間： 2014-01-12
上傳用戶：dave520l
中南賽區(qū)ACM競賽題 Description Given a two-dimensional array of positive and negative integers, a sub-rectangle is any contiguous sub-array of size 1*1 or greater located within the whole array. The sum of a rectangle is the sum of all the elements in that rectangle. In this problem the sub-rectangle with the largest sum is referred to as the maximal sub-rectangle.
標簽： two-dimensional Description negative integers
上傳時間： 2013-12-22
上傳用戶：lijianyu172
利用凌陽單片機中計算從從1到100進行累加，并把計算結(jié)果保存在[sum]單元里
上傳時間： 2016-07-01
上傳用戶：alan-ee
此代碼是ＬＤＰＣ碼進行BP算法的重要參考代碼，價值很高！并且可以進行BP的改進算法min-sum BP算法的改進工作！參考的價值不錯
上傳時間： 2014-01-09
上傳用戶：bibirnovis
此代碼是ＬＤＰＣ碼進行BP算法的重要參考代碼，價值很高！并且可以進行BP的改進算法min-sum BP算法的改進工作！參考的價值不錯！！信道的源碼！
上傳時間： 2014-01-10
上傳用戶：luopoguixiong
ClustanGraphics聚類分析工具。提供了11種聚類算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in sum of Squares (Ward s Method) sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)
標簽： ClustanGraphics Complete Neighbor Linkage
上傳時間： 2014-01-02
上傳用戶：003030
引入PEG（Progressive-edge-growth）算法來構(gòu)造適合線性時間編碼的LDPC校驗矩陣，譯碼時采用簡化最小和Min-sum譯碼算法實現(xiàn)簡化譯碼．仿真結(jié)果表明，該方法能夠構(gòu)造適合LDPC碼的線性時間編碼的下三角校驗矩陣日，并且用此方法構(gòu)造的LDPC碼性能非常接近原來PEG算法構(gòu)造的LDPC碼．同時通過采用最小和Min-sum算法降低譯碼復雜度．
標簽： Progressive-edge-growth LDPC PEG 算法
上傳時間： 2013-12-27
上傳用戶：qlpqlq
function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 ％ Exponent for U max_iter = 100 ％ Max. iteration min_impro =1e-5 ％ Min. improvement c=3 [center, U, obj_fcn] = fcm(data, c) for i=1:max_iter if F(U)>0.98 break else w_new=eye(in_n,in_n) center1=sum(center)/c a=center1(1)./center1 deta=center-center1(ones(c,1),:) w=sqrt(sum(deta.^2)).*a for j=1:in_n w_new(j,j)=w(j) end data1=data*w_new [center, U, obj_fcn] = fcm(data1, c) center=center./w(ones(c,1),:) obj_fcn=obj_fcn/sum(w.^2) end end display(i) result=zeros(1,data_n) U_=max(U) for i=1:data_n for j=1:c if U(j,i)==U_(i) result(i)=j continue end end end
標簽： data function Exponent obj_fcn
上傳時間： 2013-12-18
上傳用戶：ynzfm
SQL 合計函數(shù) 使用 SQL 合計函數(shù) 你可以確定數(shù)據(jù)組的各種統(tǒng)計。你可以把這些函數(shù)用于查詢和合計表達式，條件是在具備 SQL特性的 QueryDef對象中或在創(chuàng)建基于SQL查詢的 Recordset對象時。 Avg 函數(shù) Count 函數(shù) First, Last 函數(shù) Min, Max 函數(shù) StDev, StDevP 函數(shù) sum 函數(shù) Var 和 VarP 函數(shù)
標簽： SQL 函數(shù) 數(shù)據(jù) 查詢
上傳時間： 2017-01-27
上傳用戶：1583060504
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