Results 21 to 30 of about 1,500,611 (328)
What Drives Consumers in Poland and the Czech Republic When Choosing Engine Oil Brand?
Entrepreneurial Business and Economics Review, 2019 Objective: The objective of the research was to study consumer decision-making and purchasing preferences when buying engine oils to reveal the presence of consumer preference heterogeneity.
Artur Wolak +3 more
doaj +1 more source
Journal of Statistical Software, 2021 The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD).
Cristina Tortora +4 more
doaj +1 more source
Self-adaptive GA, quantitative semantic similarity measures and ontology-based text clustering [PDF]
, 2008 As the common clustering algorithms use vector space model (VSM) to represent document, the conceptual relationships between related terms which do not co-occur literally are ignored.
Li, Chenghua +3 more
core +1 more source
A Markov Prediction Model Based on Page Hierarchical Clustering
International Journal of Distributed Sensor Networks, 2009 Yao Yao, Lei Shi, Zhanhong Wang
doaj +2 more sources
Mixtures of Common Skew-t Factor Analyzers [PDF]
, 2013 A mixture of common skew-t factor analyzers model is introduced for model-based clustering of high-dimensional data. By assuming common component factor loadings, this model allows clustering to be performed in the presence of a large number of mixture ...
Browne, Ryan P. +2 more
core +1 more source
Incremental Learning of Nonparametric Bayesian Mixture Models [PDF]
, 2008 Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group before learning can begin.
Gomes, Ryan +2 more
core +3 more sources
Forecasting bus passenger flows by using a clustering-based support vector regression approach [PDF]
, 2020 As a significant component of the intelligent transportation system, forecasting bus passenger flows plays a key role in resource allocation, network planning, and frequency setting.
Bai, Yun +3 more
core +1 more source
hergm: Hierarchical Exponential-Family Random Graph Models
Journal of Statistical Software, 2018 We describe the R package hergm that implements hierarchical exponential-family random graph models with local dependence. Hierarchical exponential-family random graph models with local dependence tend to be superior to conventional exponential-family ...
Michael Schweinberger, Pamela Luna
doaj +1 more source
Multi-view constrained clustering with an incomplete mapping between views [PDF]
, 2012 Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, many applications provide only a partial mapping between the views, creating a
desJardins, Marie +2 more
core +1 more source
Model-Based Hierarchical Clustering
CoRR, 2013 Appears in Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence (UAI2000)
Shivakumar Vaithyanathan, Byron Dom
openaire +3 more sources