Isomap是一种非线性降维方法。又是一种广泛使用的低维嵌入的方法。[ 1 ] Isomap用于计算准等距，低维嵌入的一组高维数据点。该算法提供了一个简单的方法，用于估计基于一个粗略的估计，每个数据点的邻居流形上的数据流形的内在几何。Isomap是高效和一般适用于范围广泛的数据源和维度。-Isomap is a Nonlinear dimensionality reduction method. And is also one of several widely used low-dimensional embedding methods.[1] Isomap is used for computing a quasi-isometric, low-dimensional embedding of a set of high-dimensional data points. The algorithm provides a simple method for estimating the intrinsic geometry of a data manifold based on a rough estimate of each data point’s neighbors on the manifold. Isomap is highly efficient and generally applicable to a broad range of data sources and dimensionalities.