{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T20:43:06Z","timestamp":1648672986629},"reference-count":23,"publisher":"World Scientific Pub Co Pte Lt","issue":"04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Comp. Intel. Appl."],"published-print":{"date-parts":[[2011,12]]},"abstract":"<jats:p> This paper presents a novel technique for the classification of suspicious areas in digital mammograms. The proposed technique is based on clustering of input data into numerous clusters and amalgamating them with a Support Vector Machine (SVM) classifier. The technique is called multi-cluster support vector machine (MCSVM) and is designed to provide a fast converging technique with good generalization abilities leading to an improved classification as a benign or malignant class. The proposed MCSVM technique has been evaluated on data from the Digital Database of Screening Mammography (DDSM) benchmark database. The experimental results showed that the proposed MCSVM classifier achieves better results than standard SVM. A paired t-test and Anova analysis showed that the results are statistically significant. <\/jats:p>","DOI":"10.1142\/s1469026811003203","type":"journal-article","created":{"date-parts":[[2012,1,11]],"date-time":"2012-01-11T12:13:13Z","timestamp":1326283993000},"page":"481-494","source":"Crossref","is-referenced-by-count":2,"title":["MULTI-CLUSTER SUPPORT VECTOR MACHINE CLASSIFIER FOR THE CLASSIFICATION OF SUSPICIOUS AREAS IN DIGITAL MAMMOGRAMS"],"prefix":"10.1142","volume":"10","author":[{"given":"PETER","family":"MC LEOD","sequence":"first","affiliation":[{"name":"School of Information and Communication Technology, Central Queensland University, Bruce Highway, North Rockhampton, QLD 4702, Australia"}]},{"given":"BRIJESH","family":"VERMA","sequence":"additional","affiliation":[{"name":"School of Information and Communication Technology, Central Queensland University, Bruce Highway, North Rockhampton, QLD 4702, Australia"}]}],"member":"219","published-online":{"date-parts":[[2012,4,30]]},"reference":[{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1007\/s10549-007-9609-5"},{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djm238"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.06.1449"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.2214\/AJR.05.0111"},{"key":"rf6","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2362040864"},{"key":"rf7","first-page":"204","volume":"239","author":"Morton M.","journal-title":"Radiology"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1118\/1.2168063"},{"key":"rf9","author":"Malich A.","journal-title":"Eur. 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