Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.
Time Series Clustering and Classification includes relevant developments on observation-based, feature-based and model-based traditional and fuzzy clustering methods, feature-based and model-based classification methods, and machine ...
This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms.
Gan, G., Wu, J. (2008). A convergence theorem for the fuzzy subspace clustering (FSC) algorithm. Pattern Recognition, 41(6):1939-1947. García-Escudero, L.A., Gordaliza, A. (1999). Robustness properties of k-means and trimmed k-means.
The book presents a long list of useful methods for classification, clustering and data analysis.
Lopes and West (2004) carry out simulation studies showing that the BIC can be effective for selection of the number of factors. Another well-known approach for selecting the number of factors is parallel analysis (Horn, 1965; ...
Obviously there is also a dependence on the classification method that is used for the supplementary objects. References BANFIELD, J.D. and RAFTERY, A.E. (1993): Model-Based Gaussian and nonGaussian Clustering. Biometrics, 49, 803-821.
This book will give you the practical exposure along with its theory explained comprehensively. This book is the perfect compilation for beginners as well as intermediate learners who intend to learn statistics and data analysis techniques.
MLDM began as a workshop and is now a conference, and has brought the topic of machine learning and data mining to the attention of the research community. Seventy-?ve papers were submitted to the conference this year.
One approach is to introduce random effects at each level to incorporate the withinlevel correlations and betweenlevel ... In pharmacokinetics and pharmacodynamics (PK/PD) modeling, the NONMEM package for fitting NLME models is popular.
IEEE Int. Conference on Systems, Man, and Cybernetics, IEEE SMC '99, 12–15 October 1999, vol. 5, 185–190. ... 1996 Biennial Conference of the North American Fuzzy Information Processing Society, NAFIPS, 19–22 June 1996, 221–224.