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CICLING
2010
Springer
13 years 7 months ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
PKDD
2000
Springer
144views Data Mining» more  PKDD 2000»
13 years 8 months ago
Fast Hierarchical Clustering Based on Compressed Data and OPTICS
: One way to scale up clustering algorithms is to squash the data by some intelligent compression technique and cluster only the compressed data records. Such compressed data recor...
Markus M. Breunig, Hans-Peter Kriegel, Jörg S...
OODBS
2000
110views Database» more  OODBS 2000»
13 years 8 months ago
Opportunistic Prioritised Clustering Framework (OPCF)
Ever since the `early days' of database management systems, clustering has proven to be one of the most effective performance enhancement techniques for object oriented datab...
Zhen He, Alonso Marquez, Stephen Blackburn
AICCSA
2001
IEEE
200views Hardware» more  AICCSA 2001»
13 years 8 months ago
Location Management in Mobile Computing
This paper presents a novel approach based on clustering algorithms in combination with the location area (LA) scheme to solve the mobility management problem. Users' movemen...
Riky Subrata, Albert Y. Zomaya
CIKM
2006
Springer
13 years 8 months ago
Incremental hierarchical clustering of text documents
Incremental hierarchical text document clustering algorithms are important in organizing documents generated from streaming on-line sources, such as, Newswire and Blogs. However, ...
Nachiketa Sahoo, Jamie Callan, Ramayya Krishnan, G...
CSB
2004
IEEE
136views Bioinformatics» more  CSB 2004»
13 years 8 months ago
Minimum Entropy Clustering and Applications to Gene Expression Analysis
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
Haifeng Li, Keshu Zhang, Tao Jiang
SSPR
1998
Springer
13 years 8 months ago
A Statistical Clustering Model and Algorithm
In this paper, a statistical clustering model and algorithm have been discussed. Finding the optimal solution to clustering problem is transformed into simulating the equilibrium ...
Guangwen Yang, Weimin Zheng, Dingxing Wang
WCRE
1999
IEEE
13 years 8 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
13 years 9 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
IBPRIA
2009
Springer
13 years 9 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...