Semi-supervised Kernel-based Local Linear Embedding 基于核的半监督局部线性嵌入
Sparse local linear embedding algorithm 稀疏局部线性嵌入算法
Semi2 supervised local linear embedding 半监督局部线性嵌入算法
The main idea is to approximate the classical local linear embedding (LLE) by introducing a linear transformation matrix and then find the solution in a very high dimensional space by kernel trick.
其主要思想是通过引入线性变换矩阵来近似经典的局部线性嵌入(LLE)，然后通过核方法的技巧在高维空间里求解。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
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