منابع مشابه
Incremental Multi-Dimensional Scaling
Multi-Dimensional Scaling (MDS) is a widely used method for embedding a given distance matrix into a low dimensional space, used both as a preprocessing step for many machine learning problems, as well as a visualization tool in its own right. In this paper, we present an incremental version of MDS (iMDS). In iMDS, d-dimensional data points are presented in a stream, and the task is to embed th...
متن کاملDiscrete Multi-Dimensional Scaling
In recent years, a number of models of lexical access based on attractor networks have appeared. These models reproduce a number of effects seen in psycholinguistic experiments, but all suffer from unrealistic representations of lexical semantics. In an effort to improve this situation we are looking at techniques developed in the information retrieval literature that use the statistics found i...
متن کاملFast Discrete Multi-Dimensional Scaling
Multi-dimensional scaling (MDS) is the process of transforming a set of vectors in a high dimensional space to a lower dimensional one while preserving the similarity structure of the vectors. While effective methods have been found for solving this problem in the general case, they depend on the vectors in the lower dimensional space having real-valued components. However, for some application...
متن کاملTexture Mapping via Spherical Multi-dimensional Scaling
We present a technique for texture mapping arbitrary sphere-like surfaces with minimal distortions by spherical embedding. The embedding is computed using spherical multi-dimensional scaling (MDS). MDS is a family of methods that map a set of points into a nite dimensional domain by minimizing the difference in distances between every pair of points in the original and the new embedding domain...
متن کاملA Multigrid Approach for Multi-dimensional Scaling∗
A multigrid approach for the efficient solution of large-scale multidimensional scaling (MDS) problems is presented. The main motivation is a recent application of MDS to isometry-invariant representation of surfaces, in particular, for expression-invariant recognition of human faces. Simulation results show that the proposed approach significantly outperforms conventional MDS algorithms.
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ژورنال
عنوان ژورنال: Psikologika: Jurnal Pemikiran dan Penelitian Psikologi
سال: 2006
ISSN: 1410-1289,2579-6518
DOI: 10.20885/psikologika.vol11.iss22.art6