نتایج جستجو برای: pca و svm
تعداد نتایج: 803658 فیلتر نتایج به سال:
This paper aims to provide a new method of visualizing high-dimensional data classification by employing principal component analysis (PCA) and support vector machine (SVM). In this method, PCA is adopted to reduce the dimension of high-dimensional data, and then SVM is used for the data classification process. At last, the classified result is projected to two-dimension mapping. The method can...
Face recognition is a technique to automatically identify or verify individuals. It receives a great attention in identification, authentication, security and many more applications. Diverse methods had been proposed for this purpose and also a lot of comparative studies were performed. However, researchers could not reach unified conclusion. In this paper, we are reporting an extensive quantit...
صخلملا A total of 48 fresh water fishes, belonging to four species of the family Cyprinidae (Capoeta trutta, Chalcalburnus mossulensis, Cyprinion macrostomum and Leuciscus lepidus) were collected from Darbandikhan lake, southwest Sulaimaniya city, Kurdistan region, in the north of Iraq, from March to the end of July 2008. The inspection of gills revealed the infection of these fishes with four ...
ش ي ر ي ن ي فسو ي نا 1 (M.Sc) ، س ي د ما ي د انعر يي س ي تدا 1 (Ph.D) ، ونهد ناسحا ي 1 و 2 (Ph.D) ، قتدمحم ي جرب ي نا ـنجورب ي 1 (M.Sc) زاـنرف ن ي دازك نانمج ي 1 و 3 (M.Sc) 1 هاگشناد هش ي د تشهب ي ، هدكشناد ي سدنهم ي ژرنا ي روانف و ي اه ي ون ي ،ن امزآ ي هاگش بونان ي ژولونكتو ي ، ب هورگ ي ژولونكتو ي 2 هاگشناد برت ي ت هدكشناد ،سردم ي ز مولع ي تس ي 3 هاگشناد ملا...
PURPOSE We evaluated the feasibility of Raman spectroscopy (RS) in diagnosis and prognosis of castration-resistant prostate cancer (CRPC) in patients with prostate cancer (PC). MATERIALS AND METHODS Raman spectra are detected from PC cell lines (LNCaP and C4-2) and tissues using a Labram HR 800 RS. Then, principal component analysis (PCA) and support vector machine (SVM) are applied for predi...
Crossing the legs at the knees, during BP measurement, is one of the several physiological stimuli that considerably influence the accuracy of BP measurements. Therefore, it is paramount to develop an appropriate prediction model for interpreting influence of crossed legs on BP. This research work described the use of principal component analysis- (PCA-) fused forward stepwise regression (FSWR)...
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