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This publication is protected and available only for logged users.

Title: A Representative Set Methodfor Symbolic Sequence Clustering

Creator:

B. Kozarzewski

Abstract:

Sequence decomposition into a set of consecutive, distinct subsequences is crucial for symbolic sequence analysis.It reduces significantly the reference base of the recorded sequence for further retrieval and allows for original similarityand membership measures of the sequences. The introduced measures are a start point to a new algorithm for clusteringsequences into groups of similar individuals. Algorithms that use the concept of a representative set achieved relatively goodclustering results. The

Date created:

2012.10.25

Date accepted:

2013.03.01

Date issued:

2013.05.22

Format:

application/pdf

Resource Identifier:

oai:lib.psnc.pl:461

Subject and keywords:

similarity and membership measures; representative set; clustering

Object collections:

Last modified:

Mar 27, 2014

In our library since:

Mar 27, 2014

Number of object content hits:

52

All available object's versions:

https://lib.psnc.pl/publication/549

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Edition name Date
A Representative Set Methodfor Symbolic Sequence Clustering Mar 27, 2014

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