This paper focuses on this parameter, proposes that it should be self-tuning according to local density not a uniform value for all the data as LLE does, and ...

Abstract. Locally linear embedding is a popular manifold learning algorithm for nonlinear dimensionality reduction. However, the success of LLE depends.

A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-Tree · Tian XiaJintao LiYongdong ZhangSheng Tang. Computer Science, Mathematics.

As a classic method of nonlinear dimensional reduction, locally linear embedding (LLE) is more and more attractive to researchers due to its ability to deal ...

Jan 7, 2011 · ... A more topologically stable locally linear embedding algorithm based on R*-tree. ... of learning the parametric map of locally linear embedding ...

A More Topologically Stable Locally Linear Embedding Algorithm Based on R*-Tree ... Locally linear embedding is a popular manifold learning algorithm for ...

This work proposes a hierarchical method for automatic selection of an optimal parameter value in the locally linear embedding algorithm and applies it to ...

We propose a novel globular neighborhood based locally linear embedding (GNLLE) algorithm using neighborhood update and an incremental neighbor search scheme, ...

In this paper, we proposed an improved latent LRR model with a distance regularization and a non-negative regularization jointly, which can effectively discover ...

One is locally linear embedding (LLE) that is based on local approximation of the geometry of the manifold[Roweis and Saul, 2000]. LLE has many variants, such ...