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The extraction of non\u2010textual low\u2010level indexing features from images is now a research field, and this process principally suffers because of the computational cost of the high dimensionality of those features. A new way to classify and match low\u2010level features extracted from images, for retrieval purposes, is presented in this paper. M\u2010tree and R\u2010tree structures are used, as well as an incremental version of the k\u2010means classification alogrithm. This set of alogrithms is used to solve the problem of low performance when retrieving previously catalogued images.<\/jats:p>","DOI":"10.1108\/14684529910334038","type":"journal-article","created":{"date-parts":[[2004,5,12]],"date-time":"2004-05-12T09:35:47Z","timestamp":1084354547000},"page":"11-18","source":"Crossref","is-referenced-by-count":0,"title":["A classification\u2010matching combination for image retrieval"],"prefix":"10.1108","volume":"23","author":[{"given":"Julio","family":"Encinas","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Llor\u00e9ns","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Adoraci\u00f3n","family":"de Miguel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","reference":[{"issue":"3","key":"p_1","volume":"18","author":"Anil K.J.","year":"1996","journal-title":"IEEE Transaction on Pattern Analysis and Machine Intelligence"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1109\/CMPCON.1994.282889"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1145\/93597.98741"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(92)90028-X"},{"key":"p_5","unstructured":"Ciaccia, P., Patella, M., Zezula, P., Rabitti, F. 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