{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T18:45:26Z","timestamp":1777315526665,"version":"3.51.4"},"reference-count":25,"publisher":"World Scientific Pub Co Pte Ltd","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2015,6]]},"abstract":"<jats:p>We present a generative approach to train a new probabilistic self-organizing map (PrSOMS) for dependent and nonidentically distributed data sets. Our model defines a low-dimensional manifold allowing friendly visualizations. To yield the topology preserving maps, our model has the SOM like learning behavior with the advantages of probabilistic models. This new paradigm uses hidden Markov models (HMM) formalism and introduces relationships between the states. This allows us to take advantage of all the known classical views associated to topographic map. The objective function optimization has a clear interpretation, which allows us to propose expectation-maximization (EM) algorithm, based on the forward\u2013backward algorithm, to train the model. We demonstrate our approach on two data sets: The real-world data issued from the \"French National Audiovisual Institute\" and handwriting data captured using a WACOM tablet.<\/jats:p>","DOI":"10.1142\/s1469026815500078","type":"journal-article","created":{"date-parts":[[2015,6,24]],"date-time":"2015-06-24T09:37:12Z","timestamp":1435138632000},"page":"1550007","source":"Crossref","is-referenced-by-count":9,"title":["Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data"],"prefix":"10.1142","volume":"14","author":[{"given":"Mustapha","family":"Lebbah","sequence":"first","affiliation":[{"name":"Universit\u00e9 Paris 13, Sorbonne Paris cit\u00e9, LIPN, CNRS UMR 7030, 99, avenue Jean-Baptiste, Cl\u00e9ment 93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rakia","family":"Jaziri","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris 13, Sorbonne Paris cit\u00e9, LIPN, CNRS UMR 7030, 99, avenue Jean-Baptiste, Cl\u00e9ment 93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youn\u00e8s","family":"Bennani","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Paris 13, Sorbonne Paris cit\u00e9, LIPN, CNRS UMR 7030, 99, avenue Jean-Baptiste, Cl\u00e9ment 93430 Villetaneuse, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jean-Hugues","family":"Chenot","sequence":"additional","affiliation":[{"name":"Institut National de l'Audiovisuel, 4, av. de l'Europe94 366 Bry-sur-Marne, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2015,6,24]]},"reference":[{"key":"rf1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56927-2"},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1142\/S1469026808002351"},{"key":"rf3","doi-asserted-by":"crossref","first-page":"24","DOI":"10.47839\/ijc.10.1.733","volume":"10","author":"Rogovschi N.","year":"2011","journal-title":"Int. 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