Review and big data perspectives on robust data mining approaches for industrial process modeling with outliers and missing data
Industrial process data are usually mixed with missing data and outliers which can greatly
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
affect the statistical explanation abilities for traditional data-driven modeling methods. In this …
Survey of clustering algorithms
Data analysis plays an indispensable role for understanding various phenomena. Cluster
analysis, primitive exploration with little or no prior knowledge, consists of research …
analysis, primitive exploration with little or no prior knowledge, consists of research …
[图书][B] Model-based clustering and classification for data science: with applications in R
Cluster analysis finds groups in data automatically. Most methods have been heuristic and
leave open such central questions as: how many clusters are there? Which method should I …
leave open such central questions as: how many clusters are there? Which method should I …
[HTML][HTML] Social media addiction profiles and their antecedents using latent profile analysis: The contribution of social anxiety, gender, and age
E Stănculescu, MD Griffiths - Telematics and Informatics, 2022 - Elsevier
The prevalence of social media addiction has increased with the intensive use of
technologically-mediated communication in everyday life. Most studies on social media …
technologically-mediated communication in everyday life. Most studies on social media …
What type of social support is important for student resilience during COVID-19? A latent profile analysis
In the face of the sudden outbreak of coronavirus 2019 (COVID-19), some students showed
resilience in coping with difficulties while some did not. While different types of students …
resilience in coping with difficulties while some did not. While different types of students …
[图书][B] The EM algorithm and extensions
GJ McLachlan, T Krishnan - 2008 - books.google.com
The only single-source——now completely updated and revised——to offer a unified
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
treatment of the theory, methodology, and applications of the EM algorithm Complete with …
Model-based clustering, discriminant analysis, and density estimation
C Fraley, AE Raftery - Journal of the American statistical …, 2002 - Taylor & Francis
Cluster analysis is the automated search for groups of related observations in a dataset.
Most clustering done in practice is based largely on heuristic but intuitively reasonable …
Most clustering done in practice is based largely on heuristic but intuitively reasonable …
[图书][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
[图书][B] Finite mixture and Markov switching models
S Frühwirth-Schnatter - 2006 - Springer
Modelling based on finite mixture distributions is a rapidly developing area with the range of
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
applications exploding. Finite mixture models are nowadays applied in such diverse areas …
[图书][B] Clustering
R Xu, D Wunsch - 2008 - books.google.com
This is the first book to take a truly comprehensive look at clustering. It begins with an
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …
introduction to cluster analysis and goes on to explore: proximity measures; hierarchical …