Theoretical background: The kNN for classification
Friend Recommendation in KNN Classification
... Assistant Professor, Dept. of CSE, Mahatma Gandhi University, Mangalam College of Engineering, Kottayam, India. ABSTRACT:OSN is an online service that facilitating the building of social relations among people.OSNs ...
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Document Classification Using KNN on GPU
... Document classification using k-nn classification algorithm takes more time in searching nearer neighbors in large training dataset, it include large number of ...for classification increases in ...
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MIME KNN: Improve KNN Classifier Performance Include Classification Accuracy and Time Consumption
... important classification algorithms, and has been regarded as one of the top 10 data-mining algorithms ...neighbor classification algorithm is simple and effective, and widely used in ...the KNN ...
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RFKNN: ROUGH FUZZY KNN FOR BIG DATA CLASSIFICATION
... for classification and regression that has been successfully applied to several application ...the kNN method to very large datasets using crisp ...proposed kNN classification is more ...
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Analysis and Classification of Vehicle using KNN and Decision Tree
... of KNN and Decision tree is proposed to classify the vehicle with its lane allowance on single virtual detection ...line. KNN is used with the invariant features followed by decision tree applied on variant ...
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Multiple Kernel based KNN Classifiers for Vehicle Classification
... classifier( KNN) and Gaussian classifier(GC) [22] are very often used for classification for the success of SVM and kernel, we apply multiple Kernel kNN and polynomial ker- nel GC in ...
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Bundeli Folk Song Genre Classification with kNN and SVM
... for classification include both stochastic and prob- abilistic methods; Hidden Markov Models (Chai and Vercoe, 2001), Machine-learning ...genre classification has been restricted to audio feature vector ...
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Multi-represented knn-classification for Large Class Sets
... of kNN classifiers using the sum rule in all test environments ...for classification of multi-represented objects employs kNN classification because this approach is naturally able to handle ...
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1. Analysis of knn and svm classifier for image classification
... and KNN classifier for image classification ...and KNN. 2.3 K Nearest Neighbours algorithm KNN algorithm simply uses the stored information of all existing cases and yields new results based ...
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News Classification Using Hybrid Approach Of PSO-KNN
... News Classification Using Hybrid Approach Of PSO-KNN Megha Singla, Brahmaleen ...Various classification techniques has been used like SVM, KNN, decision tree ...for classification of ...
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Massively Parallel knn using CUDA on Spam-Classification
... the kNN algorithm utilizing CUDA-enabled ...for classification, makes it potentially beneficial for large-scale Spam-filtration, and could be easily adapted to tackle other similar ...
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An Improved KNN Text Classification Algorithm Based on Clustering
... text classification has been made a lot of development, and the common algorithms for text classification include K nearest neighbor algorithm (KNN), Bayes algorithm, Support Vector Machine algorithm ...
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Multi-Dimensional Classification via kNN Feature Augmentation
... Multi-dimensional classification (MDC) deals with the prob- lem where one instance is associated with multiple class vari- ables, each of which specifies its class membership ...with kNN- augmented ...
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Classification of Various Skin Lesions using SVM and KNN Classifiers
... ABSTRACT: This paper introduces a new computer-aided method for classifying both melanocytic skin lesions and non-melanocytic skin lesions. Several methods are developed to distinguish between Melanoma, the most fatal ...
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An Improved ML kNN Algorithm by Fusing Nearest Neighbor Classification
... multi-label classification algorithm IML-kNN to solve problem that predicted accuracy using ML-kNN algorithm is not ideal for data set which has low coverage rate of labels ...better ...
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Classification Method of Teaching Resources Based on Improved KNN Algorithm
... the KNN algorithm. Aiming at the problems of traditional KNN algorithm in the classification of teaching resources in primary and middle schools, an improved KNN algorithm based on density ...
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Tweet Segmentation and Classification for Rumor Identification using KNN Approach
... implemented KNN classification algorithms for tweet segmentation, the KNN classification was very effective in tweet ...various classification algorithm to predict the attackers and ...
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Integrating Markov Model with KNN Classification for Web Page Prediction
... After classify the training data the kth order Markov model is applied to predict next page action. Fig 1: Proposed Model The complete system (Fig 1) is divided into two parts. In the first part a training dataset is ...
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Text Classification using KNN with different Feature Selection Methods
... text classification using KNN for different feature selection ...the KNN classifier ...The KNN classifier has been implemented against the different number of stemmed and unstemmed features ...
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The efficiency of classification in imperfect databases: comparing kNN and correlation clustering
... used kNN, the recognition rate does not change much until about half the amount of data is deleted, however afterwards the deletion makes a big ...original classification of the learning elements is an ...
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