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WWW
2006
ACM
14 years 11 months ago
Improved annotation of the blogosphere via autotagging and hierarchical clustering
Tags have recently become popular as a means of annotating and organizing Web pages and blog entries. Advocates of tagging argue that the use of tags produces a 'folksonomy&#...
Christopher H. Brooks, Nancy Montanez
IDA
2011
Springer
13 years 5 months ago
PSO driven collaborative clustering: A clustering algorithm for ubiquitous environments
Abstract. The goal of this article is to introduce a collaborative clustering approach to the domain of ubiquitous knowledge discovery. This clustering approach is suitable in peer...
Benoît Depaire, Rafael Falcón, Koen V...
SIGMOD
1999
ACM
183views Database» more  SIGMOD 1999»
14 years 2 months ago
OPTICS: Ordering Points To Identify the Clustering Structure
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
Mihael Ankerst, Markus M. Breunig, Hans-Peter Krie...
ICPP
2000
IEEE
14 years 3 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
14 years 4 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon