Isomap

YouTube search... ...Google search

• AI Solver
• ...find outliers
• Anomaly Detection
• Dimensional Reduction Algorithms
• Principal Component Analysis (PCA)
• T-Distributed Stochastic Neighbor Embedding (t-SNE)
• Local Linear Embedding (LLE)
• Kernel Trick
• Isomap | Wikipedia
• Nonlinear dimensionality reduction | Wikipedia
• The Isomap Algorithm and Topological Stability | M. Balasubramanian, E. Schwartz, J. Tenenbaum, Vin de Silva and J. Langford

a nonlinear dimensionality reduction method. It is 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.