Manifold learning is helpful to the discovery of the intrinsic distribution and geometry structure of data.
流形学习有助于发现数据的内在分布和几何结构。
Manifold learning attempts to obtain the intrinsic structure of non-linearly distributed data, which can be used in non-linear dimensionality reduction(NLDR).
流形学习旨在获得非线性分布数据的内在结构，可以用于非线性降维。
Locally linear embedding (LLE) is a widely-used manifold learning algorithm, in this paper we improve on the algorithm and put it to use in spatial data index.
局部线性嵌入方法是一种应用广泛的流形学习方法，本文提出算法的一种改进，并将其应用于空间数据索引。
At present, manifold learning has become a hot issue in the field of pattern recognition, machine learning and data mining.
目前，流形学习已成为模式识别、机器学习和数据挖掘领域的研究热点问题。
It can efficiently create, operate, analyse and display manifold data of geography or space reference, combine graphics and data, express the information of geography graphics.
它可以高效地创建、操作、分析和显示各种类型的地理或空间参照的数据，它能将图形与数据有机地结合起来，充分地表达数据的地理图形信息。
Design on hydraulic manifold block of Marine anchor main including database design module, data entry and editing module, layout design module, integrate hole design module, virtual design module.
锚机液压集成块设计系统主要包括：数据库设计模块、数据输入与编辑模块、外形布局模块、孔道连通设计模块、孔道校核模块、虚拟设计模块。
Design on hydraulic manifold block of Marine anchor main including database design module, data entry and editing module, layout design module, integrate hole design module, virtual design module.
锚机液压集成块设计系统主要包括：数据库设计模块、数据输入与编辑模块、外形布局模块、孔道连通设计模块、孔道校核模块、虚拟设计模块。
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