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69 results for “k-nearest neighbor”
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Research ArticleOpen accessIn the keywordsBreast Cancer Grading using Machine Learning Approach AlgorithmsHiba Nabeel Zalloum, Saada Al Zeer, Amir Manassra et al.Recently, Breast Cancer (BC) becomes a more common cancer disease in women and it considers the most important sign which leads to death among women. Therefore, it requires efficient methods for detecting it to reduce the risk of death. A positive prognosis and greater chances of survival are improved if the BC is detected early. Currently, machine learning plays an … …Journal of Computer Science, Vol. 18, Issue 12 · 22 Dec 2022 · 6,610 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBoosting-BoW Algorithm for Finding Kidney Diseases from Medical Test ReportsWisam A. Qader, Abbas M. AliThis paper introduces an approach to increase the accuracy rate of classification by employing Bag-of-Words (BoW) as a feature selection method along with machine learning algorithms to obtain a more accurate output. Because of its capability in quickly processing large sets of data and getting accurate results, this approach can be used in medical areas. Different ensemble approaches are generated … …Journal of Computer Science, Vol. 15, Issue 4 · 26 Apr 2019 · 7,497 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Comparative Study of Data Mining approaches for Bag of Visual Words Based Image ClassificationSahar Abd El Hameed Mokhtar, Heba Ahmed ElnemrImage classification is one of the most significant and challenging tasks in computer vision. The goal of this task is to build a system that is capable to reveal an image label within a collection of different image categories. This paper presents and discusses the application of various data mining techniques for image classification based on Bag of Visual Words … …Journal of Computer Science, Vol. 14, Issue 1 · 12 Jan 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrototype-Based Sample Selection for Active HashingCheong Hee ParkSeveral hashing-based methods for Approximate Nearest Neighbors (ANN) search in a large data set have been proposed recently. In particular, semi-supervised hashing utilizes semantic similarity given for a small fraction of pairwise data samples and active hashing aims to improve the performance for ANN search by relying on an expert for the labeling of the most informative points. In this … …Journal of Computer Science, Vol. 11, Issue 7 · 2 Nov 2015 · 6,736 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Fusion Technique for Colour Texture Classification System Based on Gray Level Co-occurrence MatrixA. Suresh, K. L. ShunmuganathanIn this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first non … …Journal of Computer Science, Vol. 8, Issue 12 · 5 Jan 2013 · 6,615 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Gaussian Process Regression Model for the Traveling Salesman ProblemWanatchapong Kongkaew, Juta PichitlamkenProblem statement: Traveling Salesman Problem (TSP) is a famous NP hard problem. Many approaches have been proposed up to date for solving TSP. We consider a TSP tour as a dependent variable and its corresponding distance as an independent variable. If a predictive function can be formulated from arbitrary sample tours, the optimal tour may be predicted from this function. … …Journal of Computer Science, Vol. 8, Issue 10 · 30 Aug 2012 · 7,367 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDiscrete Wavelet Transform Based Classification of Human Emotions Using Electroencephalogram SignalsMohamed RizonProblem statement: The aim of this study was to report the human emotion assessment using Electroencephalogram (EEG). Approach: An audio-visual induction based protocol was designed for inducing five different emotions (happy, surprise, fear, disgust and neutral) on 20 subjects in the age group of 19~39 years. EEG signals are recorded from 64 channels placed over entire scalp according to International … …American Journal of Applied Sciences, Vol. 7, Issue 7 · 31 Jul 2010 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWavelet Transform Based Automatic Lesion Detection in Cervix Images Using Active ContourP. S. Rama Praba, H. RanganathanColposcopy is a medical diagnostic procedure to examine an illuminated, magnified view of the cervix by a colposcope. Most cases of cervical cancer can be prevented through screening programs aimed at detecting precancerous lesions. Colposcopy cervical images are acquired in raw form which contains major cervix lesions, regions outside the cervix and parts of the imaging devices such as speculum. … …Journal of Computer Science, Vol. 9, Issue 1 · 31 Jan 2013 · 7,783 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPrincipal Component Analysis Based Feature Extraction, Morphological Edge Detection and Localization for Fast Iris RecognitionM. Suganthy, P. RamamoorthyThis study involves the Iris Localization based on morphological or set theory which is well in shape detection. Principal Component Analysis (PCA) is used for preprocessing, in which the removal of redundant and unwanted data is done. Applications such as Median Filtering and Adaptive thresholding are used for handling the variations in lighting and noise. Features are extracted using Wavelet … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,748 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Independent Rough Set Approach Hybrid with Artificial Bee Colony Algorithm for Dimensionality ReductionNambiraj Suguna, Keppana Gowder ThanushkodiProblem statement: Dimensionality reduction is viewed as an important pre-processing step for pattern recognition and data mining. As the classical rough set model considers the entire attribute set as a whole to find the subset, comparing all possible combinations of sets of attributes is difficult. Approach: In this study, we have introduced an improved Rough Set-based Attribute Reduction (RSAR) namely … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 8,334 accessesView PDFCite