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

Scientometrics

Overviews

Citing Bodies

Advances in Data Analysis and Classification

Top Articles