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» An overview of clustering methods
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CIMCA
2008
IEEE
15 years 8 months ago
A Clustering Algorithm Incorporating Density and Direction
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...
Yu-Chen Song, Michael J. O'Grady, Gregory M. P. O'...
ECIR
2006
Springer
15 years 8 months ago
Clustering Sentences for Discovering Events in News Articles
We investigate the use of clustering methods for the task of grouping the text spans in a news article that refer to the same event. We provide evidence that the order in which eve...
Martina Naughton, Nicholas Kushmerick, Joe Carthy
153
Voted
BMCBI
2005
72views more  BMCBI 2005»
15 years 6 months ago
Shortest triplet clustering: reconstructing large phylogenies using representative sets
Background: Understanding the evolutionary relationships among species based on their genetic information is one of the primary objectives in phylogenetic analysis. Reconstructing...
Le Sy Vinh, Arndt von Haeseler
EUSFLAT
2009
117views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
Type-II Fuzzy Possibilistic C-Mean Clustering
Fuzzy clustering is well known as a robust and efficient way to reduce computation cost to obtain the better results. In the literature, many robust fuzzy clustering models have be...
Mohammad Hossein Fazel Zarandi, Marzie Zarinbal, I...
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
16 years 25 days ago
High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets
High dimensionality remains a significant challenge for document clustering. Recent approaches used frequent itemsets and closed frequent itemsets to reduce dimensionality, and to...
Hassan H. Malik, John R. Kender