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» Algorithms for Clustering Data
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ML
2006
ACM
15 years 6 months ago
A Unified View on Clustering Binary Data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
DATESO
2010
132views Database» more  DATESO 2010»
15 years 4 months ago
Two-step Modified SOM for Parallel Calculation
This paper presents a simple modification of classic Kohonen network (SOM), which allows parallel processing of input data vectors or partitioning the problem in case of insufficie...
Petr Gajdos, Pavel Moravec
170
Voted
GFKL
2004
Springer
117views Data Mining» more  GFKL 2004»
15 years 11 months ago
Cluster Ensembles
Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package˜c...
Kurt Hornik
UAI
1998
15 years 7 months ago
An Experimental Comparison of Several Clustering and Initialization Methods
We examine methods for clustering in high dimensions. In the first part of the paper, we perform an experimental comparison between three batch clustering algorithms: the Expectat...
Marina Meila, David Heckerman
HICSS
2010
IEEE
237views Biometrics» more  HICSS 2010»
16 years 28 days ago
Data Aggregation and Analysis for Cancer Statistics - A Visual Analytics Approach
The disparity between data collected in rural and urban counties is often detrimental in the appropriate analysis of cancer care statistics. Low counts drastically affect the inci...
Ross Maciejewski, Travis Drake, Stephen Rudolph, A...