Results 31 to 40 of about 4,503,666 (319)
Model Based Clustering for Mixed Data: clustMD [PDF]
, 2015 A model based clustering procedure for data of mixed type, clustMD, is developed using a latent variable model. It is proposed that a latent variable, following a mixture of Gaussian distributions, generates the observed data of mixed type.
Gormley, Isobel Claire +1 more
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Clusterwise multivariate regression of mixed-type panel data
Statistics and Computing, 2022 Abstract Multivariate panel data of mixed type are routinely collected in many different areas of application, often jointly with additional covariates which complicate the statistical analysis. Moreover, it is often of interest to identify unknown groups of units in a study population using such data structure, i.e., to perform clustering.
Vavra, Jan +3 more
openaire +2 more sources
Clustering Data of Mixed Categorical and Numerical Type With Unsupervised Feature Learning
IEEE Access, 2015 Mixed-type categorical and numerical data are a challenge in many applications. This general area of mixed-type data is among the frontier areas, where computational intelligence approaches are often brittle compared with the capabilities of living ...
Dao Lam, Mingzhen Wei, Donald Wunsch
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Frontiers in Bioengineering and Biotechnology, 2022 Diabetes is the most common disease and a major threat to human health. Type 2 diabetes (T2D) makes up about 90% of all cases. With the development of high-throughput sequencing technologies, more and more fundamental pathogenesis of T2D at genetic and ...
Zhandong Li, Xiaoyong Pan, Yu-Dong Cai
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Cluster Validation for Mixed-Type Data
, 2020 For cluster analysis based on mixed-type data (i.e. data consisting of numerical and categorical variables), comparatively few clustering methods are available. One popular approach to deal with this kind of problems is an extension of the k-means algorithm (Huang, 1998), the so-called k-prototype algorithm, which is implemented in the R package ...
Aschenbruck, Rabea, Szepannek, Gero
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Journal of Applied Informatics and Computing, 2023 Penelitian ini bertujuan untuk membandingkan metode one-hot-encoding, Gower distance yang dikombinasikan dengan algoritma k-means, DBSCAN, dan OPTICS, serta k-prototype untuk pengelompokan data bertipe campuran.
Zahra Rizky Fadilah +1 more
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Bayesian nonparametric modeling of mixed-type bounded data [PDF]
We propose a Bayesian nonparametric model for mixed-type bounded data, where some variables are compositional and others are interval-bounded. Compositional variables are non-negative and sum to a given constant, such as the proportion of time an individual spends on different activities during the day or the fraction of different types of nutrients in
Rongyuan LIU +3 more
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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
A. K. Jain +33 more
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A Two-stage Method for Inverse Medium Scattering [PDF]
, 2012 We present a novel numerical method to the time-harmonic inverse medium scattering problem of recovering the refractive index from near-field scattered data.
Bakushinsky +30 more
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The Fundamental Difference Between Qualitative and Quantitative Data in Mixed Methods Research
Forum: Qualitative Social Research, 2023 Mixed methods research is commonly defined as the combination and integration of qualitative and quantitative data. However, defining these two data types has proven difficult.
Judith Schoonenboom
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