An Extended Isomap Approach for Nonlinear Dimension Reduction
نویسندگان
چکیده
منابع مشابه
Extended Isomap for Classification
The Isomap method has demonstrated promising results in finding a low dimensional embedding from samples in the high dimensional input space. The crux of this method is to estimate geodesic distance with multidimensional scaling for dimensionality reduction. Since the Isomap method is developed based on the reconstruction principle, it may not be optimal from the classification viewpoint. We pr...
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Real data of natural and social sciences is often very high-dimensional. However, the underlying structure can in many cases be described by a small number of features. Recently two new nonlinear methods for reducing the dimensionality of such data, Locally Linear Embedding and Isomap, have been suggested and successfully applied. This report compares both algorithms by means of several synthet...
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ژورنال
عنوان ژورنال: SN Computer Science
سال: 2020
ISSN: 2662-995X,2661-8907
DOI: 10.1007/s42979-020-00179-y