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Journals
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Advances in Data Analysis and Classification
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top-articles
Advances in Data Analysis and Classification
1.7
(top 50%)
impact factor
432
(top 50%)
papers
6.6K
(top 20%)
citations
40
(top 20%)
h
-index
1.7
(top 50%)
impact factor
587
all documents
7.4K
doc citations
64
(top 20%)
g
-index
Top Articles
#
Title
Journal
Year
Citations
1
Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification
Advances in Data Analysis and Classification
2013
294
2
Functional data clustering: a survey
Advances in Data Analysis and Classification
2014
254
3
Fast algorithms for determining (generalized) core groups in social networks
Advances in Data Analysis and Classification
2011
224
4
Methods for merging Gaussian mixture components
Advances in Data Analysis and Classification
2010
178
5
A review of robust clustering methods
Advances in Data Analysis and Classification
2010
161
6
Inequalities between multi-rater kappas
Advances in Data Analysis and Classification
2010
159
7
On mixtures of skew normal and skew $$t$$ -distributions
Advances in Data Analysis and Classification
2013
157
8
Model-based clustering of time series in group-specific functional subspaces
Advances in Data Analysis and Classification
2011
115
9
A computationally fast variable importance test for random forests for high-dimensional data
Advances in Data Analysis and Classification
2018
115
10
A novel method for forecasting time series based on fuzzy logic and visibility graph
Advances in Data Analysis and Classification
2017
114
11
Adaptive dissimilarity index for measuring time series proximity
Advances in Data Analysis and Classification
2007
99
12
Multiple imputation in principal component analysis
Advances in Data Analysis and Classification
2011
93
13
A principal component method to impute missing values for mixed data
Advances in Data Analysis and Classification
2016
92
14
A DC programming approach for feature selection in support vector machines learning
Advances in Data Analysis and Classification
2008
85
15
Exploring incomplete data using visualization techniques
Advances in Data Analysis and Classification
2012
84
16
Model-based clustering and segmentation of time series with changes in regime
Advances in Data Analysis and Classification
2011
76
17
Ensemble feature selection for high dimensional data: a new method and a comparative study
Advances in Data Analysis and Classification
2018
67
18
Ensemble of a subset of kNN classifiers
Advances in Data Analysis and Classification
2018
66
19
Model based clustering for mixed data: clustMD
Advances in Data Analysis and Classification
2016
64
20
Assessing and accounting for time heterogeneity in stochastic actor oriented models
Advances in Data Analysis and Classification
2011
63
21
Improved initialisation of model-based clustering using Gaussian hierarchical partitions
Advances in Data Analysis and Classification
2015
63
22
Least squares estimation of linear regression models for convex compact random sets
Advances in Data Analysis and Classification
2007
60
23
Plastic card fraud detection using peer group analysis
Advances in Data Analysis and Classification
2008
60
24
Simplicial band depth for multivariate functional data
Advances in Data Analysis and Classification
2014
59
25
Robust kernel principal component analysis and classification
Advances in Data Analysis and Classification
2010
54
26
A comparison of some criteria for states selection in the latent Markov model for longitudinal data
Advances in Data Analysis and Classification
2014
53
27
Estimating common principal components in high dimensions
Advances in Data Analysis and Classification
2014
52
28
A tail dependence-based dissimilarity measure for financial time series clustering
Advances in Data Analysis and Classification
2011
51
29
Greedy Gaussian segmentation of multivariate time series
Advances in Data Analysis and Classification
2019
51
30
Panel data analysis: a survey on model-based clustering of time series
Advances in Data Analysis and Classification
2011
49
31
Sensory analysis in the food industry as a tool for marketing decisions
Advances in Data Analysis and Classification
2012
49
32
Classification in music research
Advances in Data Analysis and Classification
2007
48
33
Trimming algorithms for clustering contaminated grouped data and their robustness
Advances in Data Analysis and Classification
2009
48
34
Correcting Jaccard and other similarity indices for chance agreement in cluster analysis
Advances in Data Analysis and Classification
2011
48
35
Clustering and classification via cluster-weighted factor analyzers
Advances in Data Analysis and Classification
2013
48
36
Interpretable clustering using unsupervised binary trees
Advances in Data Analysis and Classification
2013
48
37
A clustering ensemble framework based on elite selection of weighted clusters
Advances in Data Analysis and Classification
2013
48
38
A two-stage sparse logistic regression for optimal gene selection in high-dimensional microarray data classification
Advances in Data Analysis and Classification
2019
46
39
A comparison of instance-level counterfactual explanation algorithms for behavioral and textual data: SEDC, LIME-C and SHAP-C
Advances in Data Analysis and Classification
2020
44
40
A comparison of five recursive partitioning methods to find person subgroups involved in meaningful treatment–subgroup interactions
Advances in Data Analysis and Classification
2014
42
41
A simulation study to compare robust clustering methods based on mixtures
Advances in Data Analysis and Classification
2010
41
42
A LASSO-penalized BIC for mixture model selection
Advances in Data Analysis and Classification
2014
40
43
Modeling and forecasting interval time series with threshold models
Advances in Data Analysis and Classification
2015
40
44
From here to infinity: sparse finite versus Dirichlet process mixtures in model-based clustering
Advances in Data Analysis and Classification
2019
40
45
A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models
Advances in Data Analysis and Classification
2013
39
46
Clustering of financial time series in risky scenarios
Advances in Data Analysis and Classification
2014
39
47
Consensus of partitions : a constructive approach
Advances in Data Analysis and Classification
2011
38
48
Ensemble of optimal trees, random forest and random projection ensemble classification
Advances in Data Analysis and Classification
2020
36
49
Detection of multivariate outliers in business survey data with incomplete information
Advances in Data Analysis and Classification
2011
35
50
Trimmed fuzzy clustering for interval-valued data
Advances in Data Analysis and Classification
2015
35
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