On quantitative evaluation of clustering systems

On quantitative evaluation of clustering systems

Clustering refers to the task of partitioning unlabelled data into meaningful groups (clusters). It is a useful approach in data mining processes for identifying hidden patterns and revealing underlying knowledge from large data collections. The application areas of clustering, to name a few, includ...

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Bibliographic Details
Main Authors: HE, Ji, TAN, Ah-hwee, TAN, Chew-Lim, SUNG, Sam-Yuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2003
Subjects:
Cluster System
Cluster Quality
Adaptive Resonance Theory
Pattern Representation
Codebook Size
Databases and Information Systems
OS and Networks
Online Access:https://ink.library.smu.edu.sg/sis_research/5205
https://ink.library.smu.edu.sg/context/sis_research/article/6208/viewcontent/He02Clustering.dvi.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Clustering refers to the task of partitioning unlabelled data into meaningful groups (clusters). It is a useful approach in data mining processes for identifying hidden patterns and revealing underlying knowledge from large data collections. The application areas of clustering, to name a few, include image segmentation, information retrieval, document classification, associate rule mining, web usage tracking, and transaction analysis.

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