<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Classification of breast tumor in mammogram images using unsupervised feature learning"^^ . "In this study, we propose a learning-based approach using feature learning to minimize the manual effort required to extract features. Firstly, we extracted features from equally spaced sub-patches covering the input Region of Interest (ROI). The dimensionality of the extracted features is reduced using max-pooling. Furthermore, spherical k-means clustering coupled with max pooling (k-means-max pooling) is compared with wellknown feature extraction method namely Bag-of-features. The resulting feature vector is fed to two different classifiers: K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). The performance of these classifiers is evaluated to use of Receiver Operating Characteristics (ROC). Our results show that k-means-max pooling, combined with K-NN, achieved good performance with an average classification accuracy of 98.19, sensitivity of 97.09 and specificity of 99.35. © 2016 Asad Freihat, Radwan Abu-Gdairi, Hammad Khalil, Eman Abuteen, Mohammed Al-Smadi and Rahmat Ali Khan."^^ . "2016" . . "13" . "5" . . "Science Publications"^^ . . . "American Journal of Applied Sciences"^^ . . . "15469239" . . . . . . . . . . . . . . . . "B."^^ . "Baharudin"^^ . "B. Baharudin"^^ . . "P.N."^^ . "Hashimah"^^ . "P.N. Hashimah"^^ . . "A.M."^^ . "Ibrahim"^^ . "A.M. Ibrahim"^^ . . "A."^^ . "Md Said"^^ . "A. Md Said"^^ . . . . . "HTML Summary of #7038 \n\nClassification of breast tumor in mammogram images using unsupervised feature learning\n\n" . "text/html" . .