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Functional data sets appear in many areas of science. Although each data point may be seen as a large finite-dimensional vector it is preferable to think of them as functions, and many classical multivariate techniques have been generalized for this kind of data. A widely used technique for...
The primary method for validating cluster analysis techniques is throughMonte
Carlo simulations that rely on generating data with known cluster structure (e.g., Milligan
1996). This paper defines two kinds of data generation mechanisms with cluster overlap,
marginal and joint; current cluster...
In correspondence analysis rows and columns of a nonnegative data matrix are
depicted as points in a, usually, two-dimensional plot. Although such a two-dimensional
plot often provides a reasonable approximation, the situation can occur that an approximation
of higher dimensionality is required....
Chaturvedi and Carroll have proposed the SINDCLUS method for fitting
the INDCLUS model. It is based on splitting the two appearances of the cluster matrix
in the least squares fit function and relying on convergence to a solution where both
cluster matrices coincide. Kiers has proposed an...
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