Learn More
In terms of machine learning theory, the intrinsic geometrical structure of the original data space is usually embedded in the low-dimensional manifold. The extraction of optimized manifold features could improve the performance of clustering. This paper presents a new spectral clustering method called local topology preserving indexing (LTPI). In this(More)
Spectral clustering has been applied in various science research and engineering filed. It becomes a popular tool for data analysis. With its development, spectral clustering attracts much more attention from researchers. However, there are few literatures on it. This paper gives a brief introduction about the creation, development, basic theories and(More)
  • 1