1. Defining Household Typologies Based on Cropland Use Behaviors for Rural Human-Environment Systems Simulation Research: A Case Study in Southwest China. (2022). Wang, Yukuan ; Li, Ming ; Hossain, Md Sarwar ; Yang, Liang Emlyn ; Tian, Congshan.
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2. Farming system diversity and its drivers in land reform farms of the Waterberg District, South Africa. (2022). Oosting, S J ; Mashiloane, M L ; Raidimi, E N ; de Boer, I. J. M., ; Netshipale, A J.
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1. Gaussian mixture modeling and model-based clustering under measurement inconsistency. (2020). Melnykov, Volodymyr ; Sarkar, Shuchismita ; Zheng, Rong.
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2. How well do SEM algorithms imitate EM algorithms? A non-asymptotic analysis for mixture models. (2020). Brauer, Sascha ; Bujna, Kathrin ; Blomer, Johannes ; Kuntze, Daniel.
   In: Advances in Data Analysis and Classification.
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3. Probability of misclassification in model-based clustering. (2019). Zhu, Xuwen.
   In: Computational Statistics.
   RePEc:spr:compst:v:34:y:2019:i:3:d:10.1007_s00180-019-00868-0.

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4. Improved model-based clustering performance using Bayesian initialization averaging. (2019). White, Arthur ; Ohagan, Adrian.
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   RePEc:spr:compst:v:34:y:2019:i:1:d:10.1007_s00180-018-0855-2.

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5. An extension of the K-means algorithm to clustering skewed data. (2019). Zhu, Xuwen ; Melnykov, Volodymyr.
   In: Computational Statistics.
   RePEc:spr:compst:v:34:y:2019:i:1:d:10.1007_s00180-018-0821-z.

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6. Directional co-clustering. (2019). Nadif, Mohamed ; Salah, Aghiles.
   In: Advances in Data Analysis and Classification.
   RePEc:spr:advdac:v:13:y:2019:i:3:d:10.1007_s11634-018-0323-4.

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7. On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data. (2018). Robin, Jean-Marc ; Piyapromdee, Suphanit ; Lentz, Rasmus.
   In: 2018 Meeting Papers.
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8. On Worker and Firm Heterogeneity in Wages and Employment Mobility: Evidence from Danish Register Data. (2018). Robin, Jean-Marc ; Piyapromdee, Suphanit ; Lentz, Rasmus.
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9. Studying contributions of variables to classification. (2017). Melnykov, Yana ; Zhu, Xuwen.
   In: Statistics & Probability Letters.
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10. Clustering Directions Based on the Estimation of a Mixture of Von Mises-Fisher Distributions. (2017). Figueiredo, Adelaide.
    In: The Open Statistics and Probability Journal.
    RePEc:ben:tostpj:v:8:y:2017:i:1:p:39-52.

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11. Piecewise Regression Mixture for Simultaneous Functional Data Clustering and Optimal Segmentation. (2016). Chamroukhi, Faicel.
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12. Maximum likelihood estimation of Gaussian mixture models without matrix operations. (2015). Nguyen, Hien ; McLachlan, Geoffrey.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:9:y:2015:i:4:p:371-394.

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13. kml and kml3d: R Packages to Cluster Longitudinal Data. (2015). Alacoque, Xavier ; Sentenac, Mariane ; Genolini, Christophe ; Arnaud, Catherine.
    In: Journal of Statistical Software.
    RePEc:jss:jstsof:v:065:i04.

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14. movMF: An R Package for Fitting Mixtures of von Mises-Fisher Distributions. (2014). Hornik, Kurt ; Grun, Bettina.
    In: Journal of Statistical Software.
    RePEc:jss:jstsof:v:058:i10.

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15. A non-parametric method to estimate the number of clusters. (2014). Takahashi, Daniel Y. ; Fujita, Andre ; Patriota, Alexandre G..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:73:y:2014:i:c:p:27-39.

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16. Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition. (2014). Lin, Tsung-I, .
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    RePEc:eee:csdana:v:71:y:2014:i:c:p:183-195.

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17. Finite mixtures of unimodal beta and gamma densities and the $$k$$ -bumps algorithm. (2013). Punzo, Antonio ; Bagnato, Luca.
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    RePEc:spr:compst:v:28:y:2013:i:4:p:1571-1597.

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18. Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. (2013). Cottrell, Marie ; Lacaille, Jerome ; Bouveyron, Charles ; Bellas, Anastasios .
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    RePEc:spr:advdac:v:7:y:2013:i:3:p:281-300.

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19. A fast algorithm for robust constrained clustering. (2013). Garcia-Escudero, Luis A. ; Fritz, Heinrich ; Mayo-Iscar, Agustin.
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    RePEc:eee:csdana:v:61:y:2013:i:c:p:124-136.

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20. Mixture ensemble Kalman filters. (2013). Frei, Marco ; Kunsch, Hans R..
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:58:y:2013:i:c:p:127-138.

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21. Constrained EM algorithm with projection method. (2012). Takai, Keiji.
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    RePEc:spr:compst:v:27:y:2012:i:4:p:701-714.

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22. Copula analysis of mixture models. (2012). Vrac, M. ; Billard, L. ; Diday, E. ; Chedin, A..
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23. tclust: An R Package for a Trimming Approach to Cluster Analysis. (2012). Garcia-Escudero, Luis A ; Fritz, Heinrich ; Mayo-Iscar, Agustin.
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    RePEc:jss:jstsof:v:047:i12.

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24. Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. (2012). Bouveyron, Charles ; Brunet, Camille .
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    RePEc:eee:jmvana:v:109:y:2012:i:c:p:29-41.

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25. Optimization-Based Model Fitting for Latent Class and Latent Profile Analyses. (2011). Wang, Su-Mei ; Huang, Guan-Hua ; Hsu, Chung-Chu .
    In: Psychometrika.
    RePEc:spr:psycho:v:76:y:2011:i:4:p:584-611.

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26. A hybrid ACO-GRASP algorithm for clustering analysis. (2011). Marinakis, Yannis ; Matsatsinis, Nikolaos ; Doumpos, Michael ; Zopounidis, Constantin.
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    RePEc:spr:annopr:v:188:y:2011:i:1:p:343-358:10.1007/s10479-009-0519-2.

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27. Bayesian multiscale smoothing in supervised and semi-supervised kernel discriminant analysis. (2011). Mukhopadhyay, Subhadeep ; Ghosh, Anil K..
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    RePEc:eee:csdana:v:55:y:2011:i:7:p:2344-2353.

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28. KmL: k-means for longitudinal data. (2010). Genolini, Christophe ; Falissard, Bruno.
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    RePEc:spr:compst:v:25:y:2010:i:2:p:317-328.

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29. A review of robust clustering methods. (2010). Garcia-Escudero, Luis ; Matran, Carlos ; Gordaliza, Alfonso ; Mayo-Iscar, Agustin.
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:4:y:2010:i:2:p:89-109.

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30. Robust clusterwise linear regression through trimming. (2010). San Martin, R. ; Garcia-Escudero, L. A. ; Mayo-Iscar, A. ; Gordaliza, A..
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    RePEc:eee:csdana:v:54:y:2010:i:12:p:3057-3069.

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31. New global optimization algorithms for model-based clustering. (2009). Jank, Wolfgang ; Fu, Michael C. ; Heath, Jeffrey W..
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    RePEc:eee:csdana:v:53:y:2009:i:12:p:3999-4017.

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32. Robust linear clustering. (2009). Van Aelst, S. ; Zamar, R. ; San Martin, R. ; Garcia-Escudero, L. A. ; Gordaliza, A..
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    RePEc:bla:jorssb:v:71:y:2009:i:1:p:301-318.

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33. Block clustering with Bernoulli mixture models: Comparison of different approaches. (2008). Nadif, Mohamed ; Govaert, Grard.
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    RePEc:eee:csdana:v:52:y:2008:i:6:p:3233-3245.

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34. Two-mode multi-partitioning. (2008). Rocci, Roberto ; Vichi, Maurizio.
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    RePEc:eee:csdana:v:52:y:2008:i:4:p:1984-2003.

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35. A maximum likelihood approximation method for Dirichlets parameter estimation. (2008). Poch, Olivier ; Wicker, Nicolas ; Kalathur, Ravi Kiran Reddy, ; Muller, Jean.
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    RePEc:eee:csdana:v:52:y:2008:i:3:p:1315-1322.

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36. Clustering using objective functions and stochastic search. (2008). Hobert, James P. ; Booth, James G. ; Casella, George.
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    RePEc:bla:jorssb:v:70:y:2008:i:1:p:119-139.

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37. Building initial partitions through sampling techniques. (2007). Volkovich, Vladimir ; Kogan, Jacob ; Nicholas, Charles.
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    RePEc:eee:ejores:v:183:y:2007:i:3:p:1097-1105.

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38. Clustering of contingency table and mixture model. (2007). Nadif, Mohamed ; Govaert, Gerard.
    In: European Journal of Operational Research.
    RePEc:eee:ejores:v:183:y:2007:i:3:p:1055-1066.

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39. Model-based clustering for integrated circuit yield enhancement. (2007). Kuo, Way ; Hwang, Jung Yoon.
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    RePEc:eee:ejores:v:178:y:2007:i:1:p:143-153.

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40. High-dimensional data clustering. (2007). Girard, S. ; Schmid, C. ; Bouveyron, C..
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    RePEc:eee:csdana:v:52:y:2007:i:1:p:502-519.

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41. Model-based cluster and discriminant analysis with the MIXMOD software. (2006). Celeux, Gilles ; Govaert, Gerard ; Langrognet, Florent ; Biernacki, Christophe.
    In: Computational Statistics & Data Analysis.
    RePEc:eee:csdana:v:51:y:2006:i:2:p:587-600.

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42. A classification EM algorithm for binned data. (2006). Govaert, Gerard ; Ambroise, Christophe ; Same, Allou.
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    RePEc:eee:csdana:v:51:y:2006:i:2:p:466-480.

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43. A hybrid EM approach to spatial clustering. (2006). Hu, Tianming ; Sung, Sam Yuan.
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    RePEc:eee:csdana:v:50:y:2006:i:5:p:1188-1205.

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44. Using the mixtures-of-distributions technique for the classification of farms into representative farms. (2006). McErlean, Seamus ; Kostov, Philip.
    In: Agricultural Systems.
    RePEc:eee:agisys:v:88:y:2006:i:2-3:p:528-537.

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45. A hierarchical bayesian procedure for two-mode cluster analysis. (2004). Desarbo, Wayne ; Saxton, Kim M. ; Liechty, John ; Fong, Duncan .
    In: Psychometrika.
    RePEc:spr:psycho:v:69:y:2004:i:4:p:547-572.

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46. Learning from Partial Labels with Minimum Entropy. (2004). Grandvalet, Yves ; Bengio, Yoshua.
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    RePEc:cir:cirwor:2004s-28.

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47. Mixtures of distance-based models for ranking data. (2003). Murphy, Thomas Brendan ; Martin, Donal.
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    RePEc:eee:csdana:v:41:y:2003:i:3-4:p:645-655.

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48. Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. (2003). Celeux, Gilles ; Govaert, Gerard ; Biernacki, Christophe.
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    RePEc:eee:csdana:v:41:y:2003:i:3-4:p:561-575.

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49. Constrained clustering and Kohonen Self-Organizing Maps. (1996). Govaert, Gerard ; Ambroise, Christophe.
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50. Comparison of the mixture and the classification maximum likelihood in cluster analysis with binary data. (1996). Nadif, M. ; Govaert, G..
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    RePEc:eee:csdana:v:23:y:1996:i:1:p:65-81.

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