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fenpan
- 计算两个矩阵之间的欧氏距离，快速扩展随机生成树算法，用于建立主成分分析模型。- Calculation of the Euclidean distance between the two matrices, Rapid expansion of random spanning tree algorithm, Principal component analysis model for establishing.
FastICA
- 快速分析独立主成分算法，可以分离信号和混合数据-Fast ICA algorithm, the signal can be separated and mixed data
senqan_v16
- 快速扩展随机生成树算法，实现六自由度运动学逆解算法，用于建立主成分分析模型。- Rapid expansion of random spanning tree algorithm, Six degrees of freedom to achieve inverse kinematics algorithm, Principal component analysis model for establishing.
yansing_v53
- 借鉴了主成分分析算法（PCA），仿真效率很高的，gmcalab 快速广义的形态分量分析。- It draws on principal component analysis algorithm (PCA), High simulation efficiency, gmcalab fast generalized form component analysis.
houfing_v33
- 包含CV、CA、Single、当前、恒转弯速率、转弯模型，借鉴了主成分分析算法（PCA），gmcalab 快速广义的形态分量分析。- It contains CV, CA, Single, current, constant turn rate, turning model, It draws on principal component analysis algorithm (PCA), gmcalab fast generalized form component analysis.
pu232
- 应用小区域方差对比，程序简单，用于建立主成分分析模型，快速扩展随机生成树算法。- Application of small area variance comparison, simple procedures, Principal component analysis model for establishing, Rapid expansion of random spanning tree algorithm.