Machine Learning with R Cookbook - Second Edition
by AshishSingh Bhatia, Yu-Wei, Chiu (David Chiu)
How it works...
ISOMAP is a nonlinear dimension reduction method and a representative of isometric mapping methods. ISOMAP can be regarded as an extension of the metric MDS, where pairwise, the Euclidean distance among data points is replaced by geodesic distances induced by a neighborhood graph.
The description of the ISOMAP algorithm is shown in four steps. First, determine the neighbor of each point. Secondly, construct a neighborhood graph. Thirdly, compute the shortest distance path between two nodes. Finally, find a low dimension embedding of the data by performing MDS.
In this recipe, we demonstrate how to perform a nonlinear dimension reduction using ISOMAP. First, we load the digits data from RnavGraphImageData. Then, after we select ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access