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[PDF] Top 20 Constrained variable clustering and the best basis problem in functional data analysis

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Constrained variable clustering and the best basis problem in functional data analysis

Constrained variable clustering and the best basis problem in functional data analysis

... Constrained variable clustering and the best basis problem in functional data analysis 3 have compact supports, the simple case ... Voir le document complet

11

Nonparametric Hierarchical Clustering of Functional Data

Nonparametric Hierarchical Clustering of Functional Data

... Functional Data Marc Boull´e, Romain Guigour`es and Fabrice Rossi Abstract In this paper, we deal with the problem of curves ...partitions the curves into clusters ... Voir le document complet

22

Model-assisted variable clustering: minimax-optimal recovery and algorithms

Model-assisted variable clustering: minimax-optimal recovery and algorithms

... The problem of variable clustering is that of estimating groups of similar components of a p-dimensional vector X = (X 1 , ...return data-dependent groups of variables, but their ... Voir le document complet

41

A Generalisation of the Mixture Decomposition Problem in the Symbolic Data Analysis Framework

A Generalisation of the Mixture Decomposition Problem in the Symbolic Data Analysis Framework

... compare the results obtained by the general methods and the standard methods of mixture decomposition on standard ...considered the mixture decomposition problem in ... Voir le document complet

14

Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration

Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration

... advances in NGS sequencing, microarrays and mass spectrometry for omics data production have enabled the generation and collection of different modalities of high-dimensional molecular ... Voir le document complet

21

Evaluation and Optimization of Clustering in Gene Expression Data Analysis

Evaluation and Optimization of Clustering in Gene Expression Data Analysis

... documents and an index connecting the documents to ...variations in gene expression levels to assess the reliability of gene clusters identified from large-scale gene expression ...replacing ... Voir le document complet

12

Temporal Analysis of Text Data Using Latent Variable Models

Temporal Analysis of Text Data Using Latent Variable Models

... audio analysis. The use of textual descriptions, beyond using genres, has grown in popularity with the advent of different music websites, ...abundant data about music has become easily ... Voir le document complet

7

Graph-Based Approaches to Clustering Network-Constrained Trajectory Data

Graph-Based Approaches to Clustering Network-Constrained Trajectory Data

... similarity, clustering, moving objects, trajectories, road net- work, ...major problem that affects many human ac- tivities on a daily basis, resulting in both serious transportation delays ... Voir le document complet

16

Co-Clustering of Multivariate Functional Data for the Analysis of Air Pollution in the South of France

Co-Clustering of Multivariate Functional Data for the Analysis of Air Pollution in the South of France

... of the R´ egion Sud and the locations of the pollution ...1.2 Functional co-clustering The aim of this work is to study the environmental database, constituted by 3 ... Voir le document complet

28

Modularity-Based Clustering for Network-Constrained Trajectories

Modularity-Based Clustering for Network-Constrained Trajectories

... major problem affecting many human activities on a daily basis and resulting in both serious transportation delays and envi- ronmental ...about the state of the road ... Voir le document complet

7

Co-Clustering Network-Constrained Trajectory Data

Co-Clustering Network-Constrained Trajectory Data

... (i.e. the one optimizing the global criterion M ∗ ) consists in realizing the best trade-off between conciseness and ...NP-complete, the clustering is conducted ... Voir le document complet

15

Clustering multivariate functional data in group-specific functional subspaces

Clustering multivariate functional data in group-specific functional subspaces

... component analysis for multivariate functional data has already been suggested by various ...Ramsay and Silverman (2005) propose to con- catenate observations of the functions measured ... Voir le document complet

33

Constrained Tensor Product Approximations based on Penalized Best Approximations

Constrained Tensor Product Approximations based on Penalized Best Approximations

... on the progressive construction of successive best rank-one approximations, with eventual updates of previously computed ...elements. In par- ticular, it can be interpreted as a constrained ... Voir le document complet

30

MasterPATH: network analysis of functional genomics screening data

MasterPATH: network analysis of functional genomics screening data

... roles in the growth, development, and differentiation of skeletal muscle [ 44 – 46 ...]. The path with the highest score consists of CDKN1A, MDM2, TCAP, MSTN ...proteins. The ... Voir le document complet

13

Analysis of students clustering results based on Moodle log data

Analysis of students clustering results based on Moodle log data

... relevant clustering fea- tures and the results of experiments using them in the con- text of determining students’ learning behaviours by min- ing Moodle log ...Our clustering ... Voir le document complet

3

Semi-supervised consensus clustering for gene expression data analysis

Semi-supervised consensus clustering for gene expression data analysis

... Semi-supervised clustering, Consensus clustering, Semi-supervised consensus clustering, Gene expression Background Simple clustering methods such as agglomerative hierarchical ... Voir le document complet

14

Controversy in statistical analysis of functional magnetic resonance imaging data

Controversy in statistical analysis of functional magnetic resonance imaging data

... that the validity of fMRI data analysis paradigms has not been uniformly estab- lished and needs continued in-depth ...neurophysiology, and statistics (ex- perimental design, ... Voir le document complet

3

A Distributed and Clustering-Based Algorithm for the Enumeration Problem in Abstract Argumentation

A Distributed and Clustering-Based Algorithm for the Enumeration Problem in Abstract Argumentation

... of the spectral clustering. Once the AF similarity matrix is constructed, data are projected in a new space in which similarity is ...exists in the data set, ... Voir le document complet

21

Static analysis of functional programs with an application to the frame problem in deductive verification

Static analysis of functional programs with an application to the frame problem in deductive verification

... Since the middle of the last century, computers and information technology brought forth a digital revolution, fundamentally changing the way we live, work and inter- act with one ... Voir le document complet

257

Clustering categorical functional data Application to medical discharge letters Medical discharge letters

Clustering categorical functional data Application to medical discharge letters Medical discharge letters

... The data are provided from the GHICL in the scope of the ClinMine ANR ...project. The goal is to cluster patient stays according to the evolution of the ... Voir le document complet

2

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