high-dimensional space
高维空间
high-dimensional data
高维数据
high-dimensional analysis
高维分析
high-dimensional model
高维模型
high-dimensional feature
高维特征
be high-dimensional
是高维的
high-dimensional embedding
高维嵌入
high-dimensional representation
高维表示
high-dimensional manifold
高维流形
high-dimensional projection
高维投影
the algorithm struggles with high-dimensional data due to the curse of dimensionality.
该算法由于维度灾难而难以处理高维数据。
feature selection aims to reduce the dimensionality of the dataset.
特征选择旨在降低数据集的维度。
we used pca to project the high-dimensional data into a lower-dimensional space.
我们使用主成分分析将高维数据投影到低维空间中。
high-dimensional spaces are common in image and text analysis.
高维空间在图像和文本分析中很常见。
the model's performance degraded significantly in high-dimensional feature space.
在高维特征空间中，该模型的性能显著下降。
regularization techniques help prevent overfitting in high-dimensional models.
正则化技术有助于防止高维模型中的过拟合。
visualizing high-dimensional data is challenging but crucial for understanding patterns.
可视化高维数据具有挑战性，但对于理解模式至关重要。
the dataset contained a large number of high-dimensional features.
该数据集包含大量的特征，维度很高。
we employed dimensionality reduction to simplify the high-dimensional representation.
我们采用了降维技术来简化高维表示。
sparse representations are often used to handle high-dimensional data efficiently.
稀疏表示常用于高效处理高维数据。
the goal was to find a compact representation in a lower-dimensional space.
目标是在较低的维度空间中找到紧凑的表示。
high-dimensional space
高维空间
high-dimensional data
高维数据
high-dimensional analysis
高维分析
high-dimensional model
高维模型
high-dimensional feature
高维特征
be high-dimensional
是高维的
high-dimensional embedding
高维嵌入
high-dimensional representation
高维表示
high-dimensional manifold
高维流形
high-dimensional projection
高维投影
the algorithm struggles with high-dimensional data due to the curse of dimensionality.
该算法由于维度灾难而难以处理高维数据。
feature selection aims to reduce the dimensionality of the dataset.
特征选择旨在降低数据集的维度。
we used pca to project the high-dimensional data into a lower-dimensional space.
我们使用主成分分析将高维数据投影到低维空间中。
high-dimensional spaces are common in image and text analysis.
高维空间在图像和文本分析中很常见。
the model's performance degraded significantly in high-dimensional feature space.
在高维特征空间中，该模型的性能显著下降。
regularization techniques help prevent overfitting in high-dimensional models.
正则化技术有助于防止高维模型中的过拟合。
visualizing high-dimensional data is challenging but crucial for understanding patterns.
可视化高维数据具有挑战性，但对于理解模式至关重要。
the dataset contained a large number of high-dimensional features.
该数据集包含大量的特征，维度很高。
we employed dimensionality reduction to simplify the high-dimensional representation.
我们采用了降维技术来简化高维表示。
sparse representations are often used to handle high-dimensional data efficiently.
稀疏表示常用于高效处理高维数据。
the goal was to find a compact representation in a lower-dimensional space.
目标是在较低的维度空间中找到紧凑的表示。
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