Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
7,564
Hierarchical Clustering
"... Given n points in d-dimensional space, the goal of hierarchical clustering is to create asequenceofnestedpartitions,whichcanbeconvenientlyvisualized via a tree or hierarchy of clusters, also called the cluster dendogram. Theclustersinthehierarchy range from the fine-grained to the coarse-grained – t ..."
Abstract
- Add to MetaCart
Given n points in d-dimensional space, the goal of hierarchical clustering is to create asequenceofnestedpartitions,whichcanbeconvenientlyvisualized via a tree or hierarchy of clusters, also called the cluster dendogram. Theclustersinthehierarchy range from the fine-grained to the coarse
Parallel Algorithms for Hierarchical Clustering
- Parallel Computing
, 1995
"... Hierarchical clustering is a common method used to determine clusters of similar data points in multidimensional spaces. O(n 2 ) algorithms are known for this problem [3, 4, 10, 18]. This paper reviews important results for sequential algorithms and describes previous work on parallel algorithms f ..."
Abstract
-
Cited by 113 (2 self)
- Add to MetaCart
Hierarchical clustering is a common method used to determine clusters of similar data points in multidimensional spaces. O(n 2 ) algorithms are known for this problem [3, 4, 10, 18]. This paper reviews important results for sequential algorithms and describes previous work on parallel algorithms
Hierarchical Clustering
"... Given n points in d-dimensional space, the goal of hierarchical clustering is to create asequenceofnestedpartitions,whichcanbeconvenientlyvisualized via a tree or hierarchy of clusters, also called the cluster dendogram. Theclustersinthehierarchy range from the fine-grained to the coarse-grained – t ..."
Abstract
- Add to MetaCart
Given n points in d-dimensional space, the goal of hierarchical clustering is to create asequenceofnestedpartitions,whichcanbeconvenientlyvisualized via a tree or hierarchy of clusters, also called the cluster dendogram. Theclustersinthehierarchy range from the fine-grained to the coarse
Hierarchical Clustering
"... Abstract — Clustering techniques have a wide use and importance nowadays. This importance tends to increase as the amount of data grows and the processing power of the computers increases. Clustering applications are used extensively in various fields such as artificial intelligence, pattern recogni ..."
Abstract
- Add to MetaCart
Abstract — Clustering techniques have a wide use and importance nowadays. This importance tends to increase as the amount of data grows and the processing power of the computers increases. Clustering applications are used extensively in various fields such as artificial intelligence, pattern
Hierarchical Clustering
, 2002
"... In this contribution I present current results on how galaxies, groups, clusters and superclusters cluster at low (z1) redshifts. I also discuss the measured and expected clustering evolution. In a program to study the clustering properties of small galaxy structures we have identified close pair ..."
Abstract
- Add to MetaCart
In this contribution I present current results on how galaxies, groups, clusters and superclusters cluster at low (z1) redshifts. I also discuss the measured and expected clustering evolution. In a program to study the clustering properties of small galaxy structures we have identified close
hierarchical clustering†
, 2004
"... A structure–odour relationship study using EVA descriptors and ..."
Evaluation of Hierarchical Clustering Algorithms for Document Datasets
- Data Mining and Knowledge Discovery
, 2002
"... Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing mechanisms by organizing large amounts of information into a small number of meaningful clusters. In particular, hierarchical clustering solutions provide a view of the data at ..."
Abstract
-
Cited by 261 (6 self)
- Add to MetaCart
Fast and high-quality document clustering algorithms play an important role in providing intuitive navigation and browsing mechanisms by organizing large amounts of information into a small number of meaningful clusters. In particular, hierarchical clustering solutions provide a view of the data
An Energy Efficient Hierarchical Clustering Algorithm for Wireless Sensor Networks
, 2003
"... A wireless network consisting of a large number of small sensors with low-power transceivers can be an effective tool for gathering data in a variety of environments. The data collected by each sensor is communicated through the network to a single processing center that uses all reported data to de ..."
Abstract
-
Cited by 390 (1 self)
- Add to MetaCart
to determine characteristics of the environment or detect an event. The communication or message passing process must be designed to conserve the Hmited energy resources of the sensors. Clustering sensors into groups, so that sensors communicate information only to clusterheads and then the clusterheads
Results 1 - 10
of
7,564
