基本矩阵运算 : +
基本矩阵运算 : + - *, power, transpose, trace, determinant, minor, matrix of minor, cofactor, matrix of cofactor, adjoint, inverse, gauss, gaussjordan, linear transformation, LU decomposition , Gram-Schmidt process, similarity. b) Basic vectors functions : norm, distance, innerproduct,coldim, rowdim, rank, nullity. *-basic matrix calculation :-*, power, transpose, trace, determinant, minor, matrix of minor, cofactor, the matrix of cofactor, adjoint, inverse, Gauss, gaussjordan, linear transformation, LU decomposition, Gram-Schmidt process, the similarity. B ) Basic vectors functions : norm, distance, innerproduct, coldim, rowdim, rank, nullity.*
- 2022-07-09 08:21:12下载
- 积分：1
DBSCAN算法
% Function: [class,type]=dbscan(x,k,Eps)
% -------------------------------------------------------------------------
% Aim:
% Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN)
% -------------------------------------------------------------------------
% Input:
% x - data set (m,n); m-objects, n-variables
% k - number of objects in a neighborhood of an object
% (minimal number of objects considered as a cluster)
% Eps - neighborhood radius, if not known avoid this parameter or put []
% -------------------------------------------------------------------------
% Output:
% class - vector specifying assignment of the i-th object to certain
% cluster (m,1)
% type - vector specifying type of the i-th object
% (core: 1, border: 0, outlier: -1)
- 2022-04-08 08:12:27下载
- 积分：1
