n-dimensional space
n維空間
n-dimensional analysis
n維分析
n-dimensional data
n維數據
n-dimensional model
n維模型
n-dimensional geometry
n維幾何
n-dimensional world
n維世界
rendering n-dimensional
渲染n維
exploring n-dimensional
探索n維
defining n-dimensional
定義n維
high n-dimensional
高n維
the dataset was analyzed using n-dimensional scaling to reduce complexity.
資料集使用n維度縮放進行分析，以降低複雜度。
we explored the data in n-dimensional space to identify potential clusters.
我們在n維度空間中探索資料，以識別潛在的群集。
the model represents data points in an n-dimensional feature space.
該模型在n維度特徵空間中表示資料點。
visualizing data in n-dimensional space can be challenging but insightful.
在n維度空間中視覺化資料可能具有挑戰性，但卻富有洞察力。
the algorithm projects high-dimensional data into a lower n-dimensional representation.
該演算法將高維度資料投影到較低的n維度表示。
understanding n-dimensional geometry is crucial for advanced data analysis.
理解n維度幾何對於高階資料分析至關重要。
the researchers used n-dimensional embeddings to capture semantic relationships.
研究人員使用n維度嵌入來捕捉語義關係。
we applied principal component analysis to reduce the data to n-dimensional components.
我們應用主成分分析將資料縮減為n維度成分。
the n-dimensional hypercube is a useful concept in topology.
n維度超立方體是拓撲學中有用的概念。
the system maps users into an n-dimensional preference space.
該系統將用戶映射到n維度偏好空間。
we need to consider the curse of dimensionality in n-dimensional data.
我們需要考慮n維度資料中的維度詛咒。
n-dimensional space
n維空間
n-dimensional analysis
n維分析
n-dimensional data
n維數據
n-dimensional model
n維模型
n-dimensional geometry
n維幾何
n-dimensional world
n維世界
rendering n-dimensional
渲染n維
exploring n-dimensional
探索n維
defining n-dimensional
定義n維
high n-dimensional
高n維
the dataset was analyzed using n-dimensional scaling to reduce complexity.
資料集使用n維度縮放進行分析，以降低複雜度。
we explored the data in n-dimensional space to identify potential clusters.
我們在n維度空間中探索資料，以識別潛在的群集。
the model represents data points in an n-dimensional feature space.
該模型在n維度特徵空間中表示資料點。
visualizing data in n-dimensional space can be challenging but insightful.
在n維度空間中視覺化資料可能具有挑戰性，但卻富有洞察力。
the algorithm projects high-dimensional data into a lower n-dimensional representation.
該演算法將高維度資料投影到較低的n維度表示。
understanding n-dimensional geometry is crucial for advanced data analysis.
理解n維度幾何對於高階資料分析至關重要。
the researchers used n-dimensional embeddings to capture semantic relationships.
研究人員使用n維度嵌入來捕捉語義關係。
we applied principal component analysis to reduce the data to n-dimensional components.
我們應用主成分分析將資料縮減為n維度成分。
the n-dimensional hypercube is a useful concept in topology.
n維度超立方體是拓撲學中有用的概念。
the system maps users into an n-dimensional preference space.
該系統將用戶映射到n維度偏好空間。
we need to consider the curse of dimensionality in n-dimensional data.
我們需要考慮n維度資料中的維度詛咒。
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