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» Clustering by pattern similarity in large data sets
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ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 11 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
16 years 1 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin
JCP
2007
149views more  JCP 2007»
15 years 6 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
16 years 7 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
CORR
2010
Springer
185views Education» more  CORR 2010»
15 years 6 months ago
Acdmcp: An adaptive and completely distributed multi-hop clustering protocol for wireless sensor networks
Clustering is a very popular network structuring technique which mainly addresses the issue of scalability in large scale Wireless Sensor Networks. Additionally, it has been shown...
Khalid Nawaz, Alejandro P. Buchmann