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Data Clustering by Chandan K. Reddy, Charu C. Aggarwal

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Chapter 19

Concepts of Visual and Interactive Clustering

Alexander Hinneburg

Martin-Luther University Halle/Saale, Germanyhinneburg@informatik.uni-halle.de

19.1 Introduction

Clustering algorithms group data objects together based on some notion of distance or similarity. This resembles visual tasks that are easy for humans: spotting a cluster of stars in the night sky or identifying a cluster of old houses within a modern city. The human visual system “has evolved to facilitate quick and considered detection of the visually like and unlike through a wide variety of cues – e.g. location and relative proximity, movement, shape, colour, texture, and matching against predetermined patterns. Consequently, visualization is a natural and powerful resource ...

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