Search Results - "Journal of classification"

Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion? by Murtagh, Fionn, Legendre, Pierre

“…The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also…”
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ROC and AUC with a Binary Predictor: a Potentially Misleading Metric by Muschelli, John

“…In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve…”
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Model-Based Clustering by McNicholas, Paul D.

“…The notion of defining a cluster as a component in a mixture model was put forth by Tiedeman in 1955; since then, the use of mixture models for clustering has…”
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A Comparative Study of Divisive and Agglomerative Hierarchical Clustering Algorithms by Roux, Maurice

“…A general scheme for divisive hierarchical clustering algorithms is proposed. It is made of three main steps: first a splitting procedure for the subdivision…”
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A New Chaotic Whale Optimization Algorithm for Features Selection by Sayed, Gehad Ismail, Darwish, Ashraf, Hassanien, Aboul Ella

“…The whale optimization algorithm (WOA) is a novel evolutionary algorithm inspired by the behavior of whales. Similar to other evolutionary algorithms,…”
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A Comparison of Reliability Coefficients for Ordinal Rating Scales by de Raadt, Alexandra, Warrens, Matthijs J., Bosker, Roel J., Kiers, Henk A. L.

“…Kappa coefficients are commonly used for quantifying reliability on a categorical scale, whereas correlation coefficients are commonly applied to assess…”
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Using Projection-Based Clustering to Find Distance- and Density-Based Clusters in High-Dimensional Data by Thrun, Michael C., Ultsch, Alfred

“…For high-dimensional datasets in which clusters are formed by both distance and density structures (DDS), many clustering algorithms fail to identify these…”
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Applicability and Interpretability of Ward’s Hierarchical Agglomerative Clustering With or Without Contiguity Constraints by Randriamihamison, Nathanaël, Vialaneix, Nathalie, Neuvial, Pierre

“…Hierarchical agglomerative clustering (HAC) with Ward’s linkage has been widely used since its introduction by Ward ( Journal of the American Statistical…”
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Understanding the Adjusted Rand Index and Other Partition Comparison Indices Based on Counting Object Pairs by Warrens, Matthijs J., van der Hoef, Hanneke

“…In unsupervised machine learning, agreement between partitions is commonly assessed with so-called external validity indices. Researchers tend to use and…”
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A New Performance Evaluation Metric for Classifiers: Polygon Area Metric by Aydemir, Onder

“…Classifier performance assessment (CPA) is a challenging task for pattern recognition. In recent years, various CPA metrics have been developed to help assess…”
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Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model by Punzo, Antonio, McNicholas, Paul. D.

“…The Gaussian cluster-weighted model (CWM) is a mixture of regression models with random covariates that allows for flexible clustering of a random vector…”
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Quantum-Behaved Particle Swarm Optimization for Parameter Optimization of Support Vector Machine by Tharwat, Alaa, Hassanien, Aboul Ella

“…Support vector machine (SVM) parameters such as penalty parameter and kernel parameters have a great influence on the complexity and accuracy of SVM model. In…”
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Optimal Band Selection Using Evolutionary Machine Learning to Improve the Accuracy of Hyper-spectral Images Classification: a Novel Migration-Based Particle Swarm Optimization by Vahidi, Milad, Aghakhani, Sina, Martín, Diego, Aminzadeh, Hossein, Kaveh, Mehrdad

“…In the domain of real-world concept learning, feature selection plays a crucial role in accelerating learning processes and enhancing the quality of…”
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Comparing High-Dimensional Partitions with the Co-clustering Adjusted Rand Index by Robert, Valerie, Vasseur, Yann, Brault, Vincent

“…We consider the simultaneous clustering of rows and columns of a matrix and more particularly the ability to measure the agreement between two co-clustering…”
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Matrix Normal Cluster-Weighted Models by Tomarchio, Salvatore D., McNicholas, Paul D., Punzo, Antonio

“…Finite mixtures of regressions with fixed covariates are a commonly used model-based clustering methodology to deal with regression data. However, they assume…”
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MDCGen: Multidimensional Dataset Generator for Clustering by Iglesias, Félix, Zseby, Tanja, Ferreira, Daniel, Zimek, Arthur

“…We present a tool for generating multidimensional synthetic datasets for testing, evaluating, and benchmarking unsupervised classification algorithms. Our…”
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A Run Length Transformation for Discriminating Between Auto Regressive Time Series by Bagnall, Anthony, Janacek, Gareth

“…We describe a simple time series transformation to detect differences in series that can be accurately modelled as stationary autoregressive (AR) processes…”
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Vine Copula-Based Classifiers with Applications by Şahin, Özge, Joe, Harry

“…Abstract The vine pair-copula construction can be used to fit flexible non-Gaussian multivariate distributions to a mix of continuous and discrete variables…”
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Mixed-Type Distance Shrinkage and Selection for Clustering via Kernel Metric Learning by Ghashti, Jesse S., Thompson, John R. J.

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Studying Hierarchical Latent Structures in Heterogeneous Populations with Missing Information by Greselin, Francesca, Zaccaria, Giorgia

“…Abstract An ultrametric Gaussian mixture model is a powerful tool for modeling hierarchical relationships among latent concepts, making it ideal for studying…”
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