Automatic Cluster Number Selection using a Split and Merge K-Means Approach,

Markus Muhr; Michael Granitzer

Automatic Cluster Number Selection using a Split and Merge K-Means Approach,

Markus Muhr, Michael Granitzer

Know-Center GmbH Research Center for Data-Driven Business & Big Data Analytics (98770)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Database and expert systems applications
Editors	A. Min Tjoa, Roland R. Wagner
Publisher	Computer Society Press
Pages	363-367
Publication status	Published - 2009

Cite this

@inproceedings{f4c10851921846d8a1830a35d4f077cd,

title = "Automatic Cluster Number Selection using a Split and Merge K-Means Approach,",

author = "Markus Muhr and Michael Granitzer",

year = "2009",

language = "English",

pages = "363--367",

editor = "Tjoa, {A. Min} and Wagner, {Roland R.}",

booktitle = "Database and expert systems applications",

publisher = "Computer Society Press",

}

TY - GEN

T1 - Automatic Cluster Number Selection using a Split and Merge K-Means Approach,

AU - Muhr, Markus

AU - Granitzer, Michael

PY - 2009

Y1 - 2009

UR - http://www.uni-weimar.de/medien/webis/research/workshopseries/tir-09/proceedings/muhr09-automatic-cluster-number-selection-using-a-split-and-merge-k-means-approach.pdf

M3 - Conference paper

SP - 363

EP - 367

BT - Database and expert systems applications

A2 - Tjoa, A. Min

A2 - Wagner, Roland R.

PB - Computer Society Press

ER -

Automatic Cluster Number Selection using a Split and Merge K-Means Approach,

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Cite this