ClustanGraphics聚类分析工具。提供了11种聚类算法。 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)
标签： ClustanGraphics Complete Neighbor Linkage
上传时间： 2014-01-02
上传用户：003030
The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In higher dimensions, only a finite difference/linear algebra solution is provided, but it is fully vectorized and fully sparse in its approach. In 2-d and 3-d, if the gradients are inconsistent, then a least squares solution is generated
标签： gradient function provided versions
上传时间： 2016-11-07
上传用户：秦莞尔w
Mapack可用来做矩阵运算 Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank, Condition, Trace, Cholesky, LU, QR, Single Value decomposition, Least squares solver, Eigenproblem solver, Equation System solver. The algorithms were adapted from Mapack for COM, Lapack and the Java Matrix Package.
标签： Mapack computations supports algebra
上传时间： 2017-01-26
上传用户：tb_6877751
observable distribution grid are investigated. A distribution grid is observable if the state of the grid can be fully determined. For the simulations, the modified 34-bus IEEE test feeder is used. The measurements needed for the state estimation are generated by the ladder iterative technique. Two methods for the state estimation are analyzed: Weighted Least squares and Extended Kalman Filter. Both estimators try to find the most probable state based on the available measurements. The result is that the Kalman filter mostly needs less iterations and calculation time. The disadvantage of the Kalman filter is that it needs some foreknowlegde about the state.
标签： distribution observable grid investigated
上传时间： 2014-12-08
上传用户：ls530720646
This is GPS in matlab calculatePseudoranges finds relative pseudoranges for all satellites listed in CHANNELLIST at the specified millisecond of the processed signal. The pseudoranges contain unknown receiver clock offset. It can be found by the least squares position search procedure.
标签： calculatePseudoranges pseudoranges satellites relative
上传时间： 2017-03-09
上传用户：时代电子小智
Basic function to locate and measure the positive peaks in a noisy data sets. Detects peaks by looking for downward zero-crossings in the smoothed third derivative that exceed SlopeThreshold and peak amplitudes that exceed AmpThreshold. Determines, position, height, and approximate width of each peak by least-squares curve-fitting the log of top part of the peak with a parabola.
标签： peaks function positive Detects
上传时间： 2017-04-26
上传用户：彭玖华
Beamforming thesis describing Study of a various Beamforming Techniques And Implementation of the Constrained Least Mean squares (LMS) algorithm for Beamforming
标签： Beamforming Implementation describing Techniques
上传时间： 2013-12-25
上传用户：wuyuying
System identification with adaptive filter using full and partial-update Generalised-Sideband-Decomposition Least-Mean-squares
标签： Generalised-Sideband-Decomp identification partial-update adaptive
上传时间： 2017-09-13
上传用户：xcy122677
System identification with adaptive filter using full and partial-update Normalised-Least-Mean-squares
标签： Normalised-Least-Mean-Squar identification partial-update adaptive
上传时间： 2017-09-13
上传用户：leixinzhuo
System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-squares
标签： Transform-Domain identification partial-update Least-Mean
上传时间： 2014-01-12
上传用户：ztj182002
