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09/15/2023
Choice of trimming proportion and number of clusters in robust clustering based on trimming
So-called "classification trimmed likelihood curves" have been proposed ...
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08/28/2023
Some issues in robust clustering
Some key issues in robust clustering are discussed with focus on Gaussia...
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04/20/2022
Clustering of football players based on performance data and aggregated clustering validity indexes
We analyse football (soccer) player performance data with mixed type var...
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08/20/2021
A comparison of different clustering approaches for high-dimensional presence-absence data
Presence-absence data is defined by vectors or matrices of zeroes and on...
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08/20/2021
Parameters not identifiable or distinguishable from data, including correlation between Gaussian observations
It is shown that some theoretically identifiable parameters cannot be id...
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07/11/2021
Inference for the proportional odds cumulative logit model with monotonicity constraints for ordinal predictors and ordinal response
The proportional odds cumulative logit model (POCLM) is a standard regre...
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03/01/2021
Validation of cluster analysis results on validation data: A systematic framework
Cluster analysis refers to a wide range of data analytic techniques for ...
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02/06/2021
An empirical comparison and characterisation of nine popular clustering methods
Nine popular clustering methods are applied to 42 real data sets. The ai...
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09/02/2020
An adequacy approach for deciding the number of clusters for OTRIMLE robust Gaussian mixture based clustering
We introduce a new approach to deciding the number of clusters. The appr...
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07/11/2020
Frequentism-as-model
Most statisticians are aware that probability models interpreted in a fr...
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02/05/2020
Comparing clusterings and numbers of clusters by aggregation of calibrated clustering validity indexes
A key issue in cluster analysis is the choice of an appropriate clusteri...
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11/29/2019
Minkowski distances and standardisation for clustering and classification of high dimensional data
There are many distance-based methods for classification and clustering,...
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10/24/2019
Characterization and Development of Average Silhouette Width Clustering
The purpose of this paper is to introduced a new clustering methodology....
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10/18/2019
Clustering by Optimizing the Average Silhouette Width
In this paper, we propose a unified clustering approach that can estimat...
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08/06/2019
Does Preliminary Model Checking Help With Subsequent Inference? A Review And A New Result
Statistical methods are based on model assumptions, and it is statistica...
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06/27/2018
Quantile-based clustering
A new cluster analysis method, K-quantiles clustering, is introduced. K-...
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04/23/2018
A constrained regression model for an ordinal response with ordinal predictors
A regression model is proposed for the analysis of an ordinal response v...
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04/10/2016
Distance for Functional Data Clustering Based on Smoothing Parameter Commutation
We propose a novel method to determine the dissimilarity between subject...
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02/22/2016
