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» Algorithms for Clustering Data
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132
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EDBT
2004
ACM
192views Database» more  EDBT 2004»
16 years 2 months ago
LIMBO: Scalable Clustering of Categorical Data
Abstract. Clustering is a problem of great practical importance in numerous applications. The problem of clustering becomes more challenging when the data is categorical, that is, ...
Periklis Andritsos, Panayiotis Tsaparas, Ren&eacut...
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 7 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
124
Voted
INFOSCALE
2006
ACM
15 years 8 months ago
PENS: an algorithm for density-based clustering in peer-to-peer systems
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and v...
Mei Li, Guanling Lee, Wang-Chien Lee, Anand Sivasu...
104
Voted
FLAIRS
2001
15 years 4 months ago
Tracking Clusters in Evolving Data Sets
As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
Daniel Barbará, Ping Chen
CIARP
2003
Springer
15 years 7 months ago
Extended Star Clustering Algorithm
Abstract. In this paper we propose the extended star clustering algorithm and compare it with the original star clustering algorithm. We introduce a new concept of star and as a co...
Reynaldo Gil-García, José Manuel Bad...