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ACSW
2004
14 years 11 months ago
Application of self-organizing maps to clustering of high-frequency Financial data
This paper analyzes the clustering of trades on the Australian Stock Exchange (ASX) with respect to the trade direction variable. The ASX is a limit order market operating an elec...
Adam Blazejewski, Richard Coggins
ICML
2007
IEEE
15 years 10 months ago
Cluster analysis of heterogeneous rank data
Cluster analysis of ranking data, which occurs in consumer questionnaires, voting forms or other inquiries of preferences, attempts to identify typical groups of rank choices. Emp...
Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann
DMIN
2006
122views Data Mining» more  DMIN 2006»
14 years 11 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
AUSAI
2009
Springer
15 years 4 months ago
Enhancing MML Clustering Using Context Data with Climate Applications
Abstract. In Minimum Message Length (MML) clustering (unsupervised classification, mixture modelling) the aim is to infer a set of classes that best explains the observed data ite...
Gerhard Visser, David L. Dowe, Petteri Uotila
BMCBI
2007
128views more  BMCBI 2007»
14 years 10 months ago
Model order selection for bio-molecular data clustering
Background: Cluster analysis has been widely applied for investigating structure in bio-molecular data. A drawback of most clustering algorithms is that they cannot automatically ...
Alberto Bertoni, Giorgio Valentini