# BIRCH

## Papers overview

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2013

2013

- 2013

The objective of the study was to model the environmental niche of a dominant treeline species (Himalayan birch or Betula utilisâ€¦Â (More)

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2013

2013

- ESA
- 2013

We design a data stream algorithm for the k-means problem, called BICO, that combines the data structure of the SIGMOD Test ofâ€¦Â (More)

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2012

2012

- RCDL
- 2012

This work represents a clustering technique, based on the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCHâ€¦Â (More)

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Highly Cited

2012

Highly Cited

2012

- ACM Journal of Experimental Algorithmics
- 2012

We develop a new <it>k</it>-means clustering algorithm for data streams of points from a Euclidean space. We call this algorithmâ€¦Â (More)

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2011

2011

- 2011 IEEE 12th International Symposium onâ€¦
- 2011

The pre-clustering is an efficient data reduction method in the case of large data sets. In the pre-clustering process, anâ€¦Â (More)

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2010

2010

- 2010 International Conference on Web Informationâ€¦
- 2010

To resolving the problem of BIRCH clustering algorithm in making threshold value, have proposed a kind of improvement BIRCHâ€¦Â (More)

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Review

2006

Review

2006

- BMC Bioinformatics
- 2006

Molecular biologists need sophisticated analytical tools which often demand extensive computational resources. While findingâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- KDD
- 2001

Clustering is a widely used technique in data mining applications to discover patterns in the underlying data. Most traditionalâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- Data Mining and Knowledge Discovery
- 1997

Data clustering is an important technique for exploratory data analysis, and has been studied for several years. It has beenâ€¦Â (More)

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Highly Cited

1996

Highly Cited

1996

- SIGMOD Conference
- 1996

Finding useful patterns in large datasets has attracted considerable interest recently, and one of the most widely studiedâ€¦Â (More)

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