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BIRCH
Known as:
BIRCH (data clustering)
, Birch (disambiguation)
, Birch clustering method for large databases
BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering…
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Related topics
Related topics
7 relations
Branching factor
DBSCAN
Data mining
Data point
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2012
Review
2012
A Technical Survey on Cluster Analysis in Data Mining.
Yaminee Patil
,
M.B.Vaidya
2012
Corpus ID: 212582407
— In data mining functionalities, clustering analysis is the most significant tool for distribution of data. Clustering is…
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2011
2011
Spacio-temporal situation assessment for mobile robots
A. B. Beck
,
Claus Risager
,
N. Andersen
,
Ole Ravn
Fusion
2011
Corpus ID: 5769177
In this paper, we present a framework for situation modeling and assessment for mobile robot applications. We consider situations…
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2010
2010
An Improved BIRCH Clustering Algorithm and Application in Thermal Power
Haizhou Du
,
Yongbin Li
International Conference on Web Information…
2010
Corpus ID: 18326831
To resolving the problem of BIRCH clustering algorithm in making threshold value, have proposed a kind of improvement BIRCH…
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2007
2007
Local helioseismology using ring diagram analysis
H. M. Antia
,
S. Basu
2007
Corpus ID: 56439559
Ring diagram analysis is an extension of global helioseismology that is applied to small areas on the Sun. It can be used to…
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2004
2004
A top-down approach for density-based clustering using multidimensional indexes
JaeYoun Hwang
,
K. Whang
,
Yang-Sae Moon
,
B. Lee
Journal of Systems and Software
2004
Corpus ID: 1340052
Review
2003
Review
2003
Amphibian Population and Community Characteristics, Habitat Relationships, and First-Year Responses to Clearcutting in a Central Appalachian Industrial Forest
Lori Williams
2003
Corpus ID: 132675125
The overall goal of this project was to provide baseline data on amphibian species richness, relative abundance, and habitat use…
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2001
2001
Efficient clustering of large data sets
V. S. Ananthanarayana
,
M. Murty
,
D. K. Subramanian
Pattern Recognition
2001
Corpus ID: 261556
1999
1999
Clustering With Obstacle Entities
Jean Hou
1999
Corpus ID: 54107121
With a large amount of data stored in spatial databases, one may like to nd groups of data which share similar features, such as…
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Review
1980
Review
1980
Cognitive growth and development Edited by Morton Bortner. Brunner/Mazel, New York, 1979
G. Hochanadel
Neuropsychologia
1980
Corpus ID: 53189053
1978
1978
Alguns dados bioecológicos de Pomacea haustrum (Reeve, 1856), predador-competidor de hospedeiros intermediários de Schistosoma mansoni Sambon, 1907
R. Milward-de-Andrade
,
Omar dos Santos Carvalho
,
C. T. Guimarães
1978
Corpus ID: 71234843
Foram feitas observacoes no laboratorio e no campo, em Belo Horizonte, MG, Brasil, com a finalidade de se obter informacoes…
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