Minimum Cluster Size Estimation and Cluster Refinement for the Randomized Gravitational Clustering Algorithm

2012 ◽  
pp. 51-60 ◽  
Author(s):  
Jonatan Gomez ◽  
Elizabeth León ◽  
Olfa Nasraoui
Keyword(s):  
Cluster Size ◽  
Clustering Algorithm ◽  
Size Estimation ◽  
Gravitational Clustering ◽  
Minimum Cluster Size

Use of minimum cluster size criteria in functional MRI of the human sensorimotor cortex at 3 tesla

NeuroImage ◽  
2000 ◽  
Vol 11 (5) ◽  
pp. S860
Author(s):  
Christian Windischberger ◽  
Roland Beisteiner ◽  
Vinod Edward ◽  
Marcus Erdler ◽  
Rupert Lanzenberger ◽  
...  
Keyword(s):  
Functional Mri ◽  
Sensorimotor Cortex ◽  
Cluster Size ◽  
3 Tesla ◽  
Minimum Cluster Size

Fuzzified Even-Sized Clustering Based on Optimization

2018 ◽  
Vol 22 (4) ◽  
pp. 537-543 ◽  
Author(s):  
Kei Kitajima ◽  
Yasunori Endo ◽  
Yukihiro Hamasuna ◽  
◽  
◽  
...  
Keyword(s):  
Data Analysis ◽  
Fuzzy Clustering ◽  
Cluster Size ◽  
Clustering Algorithm ◽  
Clustering Method ◽  
Numerical Examples ◽  
Fuzzy Clustering Method

Clustering is a method of data analysis without the use of supervised data. Even-sized clustering based on optimization (ECBO) is a clustering algorithm that focuses on cluster size with the constraints that cluster sizes must be the same. However, this constraints makes ECBO inconvenient to apply in cases where a certain margin of cluster size is allowed. It is believed that this issue can be overcome by applying a fuzzy clustering method. Fuzzy clustering can represent the membership of data to clusters more flexible. In this paper, we propose a new even-sized clustering algorithm based on fuzzy clustering and verify its effectiveness through numerical examples.

scholarly journals Geometrical Approach to a New Hybrid Grid-Based Gravitational Clustering Algorithm

2021 ◽  
Vol 17 (3) ◽  
pp. 197-204
Author(s):  
Faisal Bin Al Abid ◽  
A.N.M. Rezaul Karim ◽  
Golam Rahman Chowdhury
Keyword(s):  
Clustering Algorithm ◽  
Geometrical Approach ◽  
Gravitational Clustering ◽  
Hybrid Grid ◽  
Grid Based

Cluster size estimation in binary supersaturated solutions

1992 ◽  
Vol 116 (1-2) ◽  
pp. 41-47 ◽  
Author(s):  
Rajiv M. Ginde ◽  
Allan S. Myerson
Keyword(s):  
Cluster Size ◽  
Size Estimation ◽  
Supersaturated Solutions
Sign in / Sign up

Export Citation Format

Share Document