Results 11 to 20 of about 4,503,666 (319)
Spectral Clustering of Mixed-Type Data [PDF]
Stats, 2021 Cluster analysis seeks to assign objects with similar characteristics into groups called clusters so that objects within a group are similar to each other and dissimilar to objects in other groups.
Felix Mbuga, Cristina Tortora
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Applications of Clustering with Mixed Type Data in Life Insurance [PDF]
Risks, 2021 Death benefits are generally the largest cash flow items that affect the financial statements of life insurers; some may still not have a systematic process to track and monitor death claims.
Shuang Yin +3 more
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Missing-Values Adjustment for Mixed-Type Data [PDF]
Journal of Probability and Statistics, 2011 We propose a new method of single imputation, reconstruction, and estimation of nonreported, incorrect, implausible, or excluded values in more than one field of the record.
Agostino Tarsitano, Marianna Falcone
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Holdout-Based Empirical Assessment of Mixed-Type Synthetic Data [PDF]
Frontiers in Big Data, 2021 AI-based data synthesis has seen rapid progress over the last several years and is increasingly recognized for its promise to enable privacy-respecting high-fidelity data sharing.
Michael Platzer, Thomas Reutterer
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BCBimax Biclustering Algorithm with Mixed-Type Data
Jurnal InformatikaThe application of biclustering analysis to mixed data is still relatively new. Initially, biclustering analysis was primarily used on gene expression data that has an interval scale. In this research, we will transform ordinal categorical variables into
Hanifa Izzati +2 more
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MissForest - nonparametric missing value imputation for mixed-type data [PDF]
Bioinformatics, 2011 Modern data acquisition based on high-throughput technology is often facing the problem of missing data. Algorithms commonly used in the analysis of such large-scale data often depend on a complete set.
D. J. Stekhoven +11 more
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Genome BiologyDynamic lineage tracing technologies combine genome editing with single-cell sequencing to track cell divisions. We introduce Lineage Analysis via Maximum Likelihood (LAML) to infer a maximum likelihood time-resolved cell lineage tree under the ...
Gillian Chu +3 more
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Causal Inference on Multivariate and Mixed-Type Data [PDF]
, 2017 Given data over the joint distribution of two random variables $X$ and $Y$, we consider the problem of inferring the most likely causal direction between $X$ and $Y$. In particular, we consider the general case where both $X$ and $Y$ may be univariate or multivariate, and of the same or mixed data types. We take an information theoretic approach, based
Alexander Marx, Jilles Vreeken
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IEEE AccessA contextual anomaly is a subtype of anomaly that, when observed in isolation, may not have the characteristics of an anomaly but becomes one when observed within a given context.
Lovre Mrcela, Zvonko Kostanjcar
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Benchmarking distance-based partitioning methods for mixed-type data
Advances in Data Analysis and Classification, 2022 AbstractClustering mixed-type data, that is, observation by variable data that consist of both continuous and categorical variables poses novel challenges. Foremost among these challenges is the choice of the most appropriate clustering method for the data. This paper presents a benchmarking study comparing eight distance-based partitioning methods for
Efthymios Costa +2 more
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