visualizing Similarity Data with a Mixture of Maps: Difference between revisions

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== Introduction ==  
== Introduction ==  
Tha main idea of this paper is to show how we can utilize several different two-dimensional maps in order to visualize a set of pairwise similarities.
Tha main idea of this paper is to show how we can utilize several different two-dimensional maps in order to visualize a set of pairwise similarities. Aspect maps resemble both clustering and multi-dimensional scaling.

Revision as of 13:04, 4 July 2009

Introduction

Tha main idea of this paper is to show how we can utilize several different two-dimensional maps in order to visualize a set of pairwise similarities. Aspect maps resemble both clustering and multi-dimensional scaling.