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一个程序来寻找频繁项集（关闭和最大）与Eclat算法…
A program to find frequent itemsets (also closed and maximal) with the eclat algorithm ,which carries out a depth first search on the subset lattice and determines the support of itemsets by intersecting transaction lists. -A program to find frequent itemsets (also c losed and maximal) with the eclat algorithm, which carries out a depth first search on the sub set lattice and determines the support of items ets by intersecting transaction lists.
- 2022-02-20 07:32:43下载
- 积分：1
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用C实现的AES文件
document of Implementation AES with c-document of Implementation AES with c++
- 2022-02-02 17:16:08下载
- 积分：1
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这是硕士生计算机软件专业组合数学的一个优化算法演示，仅供参考。...
这是硕士生计算机软件专业组合数学的一个优化算法演示，仅供参考。-This is the master computer software professional combination of a mathematical algorithm optimization demonstration purposes only.
- 2023-06-20 22:15:03下载
- 积分：1
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数据挖掘中的CART算法
数据挖掘中的CART算法
-Data Mining in the CART algorithm
- 2022-02-09 14:41:40下载
- 积分：1
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自制的 余弦和三角波计算(使用计算方法的2分法求解余弦和三角波的交点)...
自制的 余弦和三角波计算(使用计算方法的2分法求解余弦和三角波的交点)-privately triangular wave and cosine calculations (using the two methods of calculation method for cosine wave and the triangular intersection)
- 2022-11-11 10:45:03下载
- 积分：1
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科学计算器，可进行复杂的科学计算，最多可有99个变量
科学计算器，可进行复杂的科学计算，最多可有99个变量-scientific calculator can perform complex scientific calculations, will have up to 99 variables
- 2023-06-22 19:00:03下载
- 积分：1
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unwraping image 2d
该代码基于matlab四方向图像展开算法。有些代码可能会请求python版本来实现一个图像处理，但需要这个版本。
- 2022-03-23 19:50:12下载
- 积分：1
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将2个矩阵相乘，输出结果为文本文件
应用背景此代码是与乘法2个矩阵，导出一个文本作为结果。关键技术矩阵生产属于一般领域：1：单个数的标量乘以一个矩阵的每一个条目。2：通过另一个整个矩阵的另一个整个矩阵的乘法，矩阵乘法将是指这个二类。
- 2023-04-08 09:10:04下载
- 积分：1
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样条插值函数，插值边界条件为自然边界条件。运行编写环境C...
样条插值函数，插值边界条件为自然边界条件。运行编写环境C-spline interpolation function, interpolation boundary conditions for the natural boundary conditions. Operation C-environment
- 2022-08-08 06:32:06下载
- 积分：1
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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
