Sciweavers

5096 search results - page 45 / 1020
» Landscape of Clustering Algorithms
Sort
View
CIT
2007
Springer
15 years 6 months ago
Performance Assessment of Some Clustering Algorithms Based on a Fuzzy Granulation-Degranulation Criterion
In this paper a fuzzy quantization dequantization criterion is used to propose an evaluation technique to determine the appropriate clustering algorithm suitable for a particular ...
Sriparna Saha, Sanghamitra Bandyopadhyay
ITNG
2010
IEEE
15 years 4 months ago
A Fast and Stable Incremental Clustering Algorithm
— Clustering is a pivotal building block in many data mining applications and in machine learning in general. Most clustering algorithms in the literature pertain to off-line (or...
Steven Young, Itamar Arel, Thomas P. Karnowski, De...
JDCTA
2010
130views more  JDCTA 2010»
14 years 6 months ago
A Search Algorithm for Clusters in a Network or Graph
A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
Dongming Chen, Jing Wang, Xiaodong Chen, Xiaowei X...
KDD
1998
ACM
123views Data Mining» more  KDD 1998»
15 years 4 months ago
Scaling Clustering Algorithms to Large Databases
Practical clustering algorithms require multiple data scans to achieve convergence. For large databases, these scans become prohibitively expensive. We present a scalable clusteri...
Paul S. Bradley, Usama M. Fayyad, Cory Reina
MICAI
2007
Springer
15 years 6 months ago
Fuzzifying Clustering Algorithms: The Case Study of MajorClust
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...
Eugene Levner, David Pinto, Paolo Rosso, David Alc...