Zobrazeno 1 - 10
of 250
pro vyhledávání: '"Mcnicholas, P. D."'
Zhu and Melnykov (2018) develop a model to fit mixture models when the components are derived from the Manly transformation. Their EM algorithm utilizes Nelder-Mead optimization in the M-step to update the skew parameter, $\boldsymbol{\lambda}_g$. An
Externí odkaz:
http://arxiv.org/abs/2410.00848
While advances continue to be made in model-based clustering, challenges persist in modeling various data types such as panel data. Multivariate panel data present difficulties for clustering algorithms because they are often plagued by missing data
Externí odkaz:
http://arxiv.org/abs/2404.04122
A mixture of multivariate Poisson-log normal factor analyzers is introduced by imposing constraints on the covariance matrix, which resulted in flexible models for clustering purposes. In particular, a class of eight parsimonious mixture models based
Externí odkaz:
http://arxiv.org/abs/2311.07762
Matrix-variate distributions are a recent addition to the model-based clustering field, thereby making it possible to analyze data in matrix form with complex structure such as images and time series. Due to its recent appearance, there is limited li
Externí odkaz:
http://arxiv.org/abs/2310.05288
Many common clustering methods cannot be used for clustering multivariate longitudinal data in cases where variables exhibit high autocorrelations. In this article, a copula kernel mixture model (CKMM) is proposed for clustering data of this type. Th
Externí odkaz:
http://arxiv.org/abs/2307.11682
The importance of variable selection for clustering has been recognized for some time, and mixture models are well-established as a statistical approach to clustering. Yet, the literature on variable selection in model-based clustering remains largel
Externí odkaz:
http://arxiv.org/abs/2305.16464
Cluster-weighted models (CWMs) extend finite mixtures of regressions (FMRs) in order to allow the distribution of covariates to contribute to the clustering process. In a matrix-variate framework, the matrix-variate normal CWM has been recently intro
Externí odkaz:
http://arxiv.org/abs/2111.14952
With the rise of the "big data" phenomenon in recent years, data is coming in many different complex forms. One example of this is multi-way data that come in the form of higher-order tensors such as coloured images and movie clips. Although there ha
Externí odkaz:
http://arxiv.org/abs/2106.08984
Finite mixtures of regressions with fixed covariates are a commonly used model-based clustering methodology to deal with regression data. However, they assume assignment independence, i.e. the allocation of data points to the clusters is made indepen
Externí odkaz:
http://arxiv.org/abs/2104.11900
Much work has been done in the area of the cluster weighted model (CWM), which extends the finite mixture of regression model to include modelling of the covariates. Although many types of distributions have been considered for both the response and
Externí odkaz:
http://arxiv.org/abs/2103.09792