Texture Segmentation: A core application domain for pairwise data cluster- ing techniques is the unsupervised segmentation of textured images. In order to.

Nov 21, 2024 · We propose in this paper a pairwise clustering cost function with a novel dissimilarity measure emphasizing connectedness in feature space ...

Aug 28, 2001 · We propose in this paper a pairwise clustering cost function with a novel dissimilarity measure emphasizing connectedness in feature space ...

Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in ...

Oct 22, 2024 · This grouping principle yields superior clustering results when objects are distributed on low-dimensional extended manifolds in a feature space ...

A novel grouping method is proposed, which stresses connectedness of image elements via mediating elements rather than favoring high mutual similarity, ...

In this paper we propose a general approach for integrating boundary information in a pairwise segmentation framework. To this end we propose a measure of ...

We devise an M-estimator and use it to define a robust path-based similarity measure which takes into account the existence of noise and outliers in the data ...

Abstract. Path Based Clustering assigns two objects to the same clus- ter if they are connected by a path with high similarity between adjacent.

May 29, 2024 · Using the path metric embedding to cluster the data thus yields a clustering method which balances density-based and geometric information. Go ...