Friedrich Leisch

Orcid: 0000-0001-7278-1983

According to our database1, Friedrich Leisch authored at least 39 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A white paper on good research practices in benchmarking: The case of cluster analysis.
WIREs Data. Mining. Knowl. Discov., November, 2023

2020
Effects of Resampling in Determining the Number of Clusters in a Data Set.
J. Classif., 2020

2019
Simple K-Medoids Partitioning Algorithm for Mixed Variable Data.
Algorithms, 2019

2017
Boosting flexible functional regression models with a high number of functional historical effects.
Stat. Comput., 2017

Benchmarking different clustering algorithms on functional data.
Adv. Data Anal. Classif., 2017

2014
Music and timbre segmentation by recursive constrained <i>K</i>-means clustering.
Comput. Stat., 2014

(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms.
Comput. Stat. Data Anal., 2014

2012
Modelling time course gene expression data with finite mixtures of linear additive models.
Bioinform., 2012

2011
Executable Papers for the R Community: The R2 Platform for Reproducible Research.
Proceedings of the International Conference on Computational Science, 2011

Exploratory analysis of benchmark experiments an interactive approach.
Comput. Stat., 2011

Weighted and robust archetypal analysis.
Comput. Stat. Data Anal., 2011

Case studies in reproducibility.
Briefings Bioinform., 2011

2010
Neighborhood graphs, stripes and shadow plots for cluster visualization.
Stat. Comput., 2010

Mixtures of regression models for time course gene expression data: evaluation of initialization and random effects.
Bioinform., 2010

2009
Dealing with label switching in mixture models under genuine multimodality.
J. Multivar. Anal., 2009

RGG: A general GUI Framework for R scripts.
BMC Bioinform., 2009

Exploratory and inferential analysis of gene cluster neighborhood graphs.
BMC Bioinform., 2009

gcExplorer: interactive exploration of gene clusters.
Bioinform., 2009

2008
Identifiability of Finite Mixtures of Multinomial Logit Models with Varying and Fixed Effects.
J. Classif., 2008

Quality-Based Clustering of Functional Data: Applications to Time Course Microarray Data.
Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007
Compstat 2006 Young Researcher Award.
Comput. Stat., 2007

Fitting finite mixtures of generalized linear regressions in R.
Comput. Stat. Data Anal., 2007

2006
A toolbox for K.
Comput. Stat. Data Anal., 2006

Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models.
Proceedings of the Advances in Data Analysis, 2006

2005
R Version 2.1.0.
Comput. Stat., 2005

2004
<i>StatDataML</i>: An XML Format for Statistical Data.
Comput. Stat., 2004

R Version 2.0.0.
Comput. Stat., 2004

2003
The support vector machine under test.
Neurocomputing, 2003

2002
StatDataML: An XML Format for Statistical Data.
Proceedings of the COMPSTAT 2002, 2002

Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis.
Proceedings of the COMPSTAT 2002, 2002

2001
Behavioral Market Segmentation of Binary Guest Survey Data with Bagged Clustering.
Proceedings of the Artificial Neural Networks, 2001

Fusion of Fuzzy System and Conventional Technique to Evaluate Weather and Terrain Effects on the Vehicle Operations.
Proceedings of the Hybrid Information Systems, 2001

Neural Techniques in Logo Recognition.
Proceedings of the Hybrid Information Systems, 2001

2000
Stationary and Integrated Autoregressive Neural Network Processes.
Neural Comput., 2000

1998
Cross-validation with active pattern selection for neural-network classifiers.
IEEE Trans. Neural Networks, 1998

Stationarity and Stability of Autoregressive Neural Network Processes.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

1997
Adaptive combination of PCA and VQ networks.
IEEE Trans. Neural Networks, 1997

1996
ARC-LH: A New Adaptive Resampling Algorithm for Improving ANN Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
NN Classifiers: Reducing the Computational Cost of Cross-Validation by Active Pattern Selection.
Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems (ANNES '95), 1995


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