NIPS
2008
13 years 6 months ago
2008
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
IJCAI
2007
13 years 6 months ago
2007
Clustering accuracy of partitional clustering algorithm for categorical data primarily depends upon the choice of initial data points (modes) to instigate the clustering process. ...
EMNLP
2007
13 years 6 months ago
2007
We present V-measure, an external entropybased cluster evaluation measure. Vmeasure provides an elegant solution to many problems that affect previously defined cluster evaluatio...
DMIN
2008
13 years 6 months ago
2008
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
DAGSTUHL
2007
13 years 6 months ago
2007
Local tag structures have become frequent through Web 2.0: Users "tag" their data without specifying the underlying semantics. Every user annotates items in an individual...
CIMCA
2008
IEEE
13 years 6 months ago
2008
IEEE
This paper analyses the advantages and disadvantages of the K-means algorithm and the DENCLUE algorithm. In order to realise the automation of clustering analysis and eliminate hu...
FLAIRS
2007
13 years 6 months ago
2007
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
BIBE
2009
IEEE
13 years 7 months ago
2009
IEEE
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
HIPC
2000
Springer
13 years 8 months ago
2000
Springer
In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due...
DIS
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...