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k-NN classifier

Bayesian network classifier versus k-NN classifier

Bayesian network classifier versus k-NN classifier

... of classifier evaluations (#Evaluations) used for search, the number of independent probabilities (#Parame- ters), the number of nearest neighbors k, and the number of features (#Features) and/or arcs ...

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A MULTSTAGE APPROACH FOR EXUDATES DETECTION IN FUNDUS IMAGES USING TEXTURE FEATURES WITH K NN CLASSIFIER

A MULTSTAGE APPROACH FOR EXUDATES DETECTION IN FUNDUS IMAGES USING TEXTURE FEATURES WITH K NN CLASSIFIER

... This paper presents a multistage approach for exudates detection in fundus images. The proposed algorithm consolidates morphological operations for blood vessel removal, segmentation, optic disk removal and exudates ...

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Comparison of Naive Basian and K NN Classifier

Comparison of Naive Basian and K NN Classifier

... between k-nearest neighbor and naïve basin classifier based on the subset of ...that K-NN classifier gets competition with naïve basian ...performance K-NN ...

6

Emotion Recognition Between POMS and K-NN Classifier Algorithm Using Twitter API

Emotion Recognition Between POMS and K-NN Classifier Algorithm Using Twitter API

... Tweets are retrieved in a streaming way, and Twitter providesthe Streaming API for developers and researchers toaccess public tweets in real time. The aim of this paper isto bridge the gap by carrying out a performance ...

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A DIFFERENTIAL DIAGNOSIS IN MEDICAL FIELD USING SOA AND K-NN CLASSIFIER TECHNIQUE

A DIFFERENTIAL DIAGNOSIS IN MEDICAL FIELD USING SOA AND K-NN CLASSIFIER TECHNIQUE

... including k-NN classifier [4] and the next probable diseases by performing differential diagnosis using the Hopfield neural network theory and Large Memory Storage and Retrieval (LAMSTAR) ...

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A multiple-point spatially weighted k-NN classifier for remote sensing

A multiple-point spatially weighted k-NN classifier for remote sensing

... weighted k-NN method (MPk-NN) was compared to several alternatives; including the traditional k-NN and two previously published spatially weighted k-NN schemes; the ...

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Online Signature Verification System using DRT,DCT and K-NN Classifier

Online Signature Verification System using DRT,DCT and K-NN Classifier

... any classifier is to classify the unseen data correctly which is not available in the training ...Any classifier separates data into training and testing set. K-Nearest Neighbour classifier is ...

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K-NN CLASSIFIER FOR PREDICTION OF SWINE INFLUENZA VIRUS

K-NN CLASSIFIER FOR PREDICTION OF SWINE INFLUENZA VIRUS

... K-nearest neighbor has been used in statistical estimation and pattern recognition as consider an example –suppose we have to find how many patient are showing positive test report of having H1N1 and H3N2 virus in ...

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Segmentation of Lung Nodule Image Using Global Thresholding and Classification by K-NN

Segmentation of Lung Nodule Image Using Global Thresholding and Classification by K-NN

... ABSTRACT: We present a new frame of lung parenchyma Segmentation. The parenchyma execution is based on global threshold value method and boundary tracking method. The parenchyma scheme to represent the lower CT value of ...

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A multiple-point spatially weighted k-NN method for object-based classification

A multiple-point spatially weighted k-NN method for object-based classification

... MPk-NN classifier. The k-NN method is based on spectral information only, while the geostatistical weighting is added in the gk-NN method, so these two benchmarks were used to deduce ...

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K-NN CLASSIFICATION OVER SECURE ENCRYPTED   RELATIONAL DATA IN OUTSOURCED ENVIRONMENT

K-NN CLASSIFICATION OVER SECURE ENCRYPTED RELATIONAL DATA IN OUTSOURCED ENVIRONMENT

... protected K-NN classifier over encoded information in the ...safe K-NN classifier over encoded information under the semi-fair ...

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PRIVACY PRESERVING TECHNIQUE USING K-NN CLASSIFICATION IN OUTSOURCES ENVIRONMENT

PRIVACY PRESERVING TECHNIQUE USING K-NN CLASSIFICATION IN OUTSOURCES ENVIRONMENT

... secure k-Nearest Neighbour (k-NN) classifier over encrypted data in the ...secure k-NN classifier over encrypted data under the semi- honest ...

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Twitter Sentiment Analysis Using Support Vector Machine and K-NN Classifiers

Twitter Sentiment Analysis Using Support Vector Machine and K-NN Classifiers

... Abstract— At the present time, social media has become an important popular communication medium among all online suffers. Twitter is one of the most popular social networking services where thoughts and opinions about ...

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An efficient top k ranked search on 
		spatial data using NN and BB

An efficient top k ranked search on spatial data using NN and BB

... area of a question p is caught by the scoring capacity (I) the range score confines the area to a fresh district focused at p, though (ii) the impact score loosens up the area to the entire space and doles out higher ...

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A Cuisine Based Recommender System Using k NN And Mapreduce Approach

A Cuisine Based Recommender System Using k NN And Mapreduce Approach

... k-NN algorithm is a distance based classification algorithm which assigns a class label of an unknown case to its nearest Neighbor. Distance metrics like Euclidean, cosine and Manhattan distances can be ...

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A high performance k-NN approach using binary neural networks

A high performance k-NN approach using binary neural networks

... For the retrospective standard k-NN technique, we read in the vectors from a file and calculate the ranges of all attributes. We then generate the data structure by storing each record and its 100 nearest ...

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Performance Analysis of SVM, k-NN and BPNN Classifiers for Motor Imagery

Performance Analysis of SVM, k-NN and BPNN Classifiers for Motor Imagery

... [5] Boyu Wang, Chi Man Wong, Feng Wan, Peng Un Mak, Pui In Mak, and Mang I Vai, "Comparison of Different Classification Methods for EEG-Based Brain Computer Interfaces: A Case Study”, IEEE, International Conference ...

5

Probabilistic Classification from a K Nearest Neighbour Classifier

Probabilistic Classification from a K Nearest Neighbour Classifier

... the K nearest neighbours is a more certain result, than some equivocation between two or more ...with K bins: each element k of the histogram is used for those cases in the training set in which ...

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Application Of Dimensionality Reduction On Classification Of Colon Cancer Using Ica And K-Nn Algorithm

Application Of Dimensionality Reduction On Classification Of Colon Cancer Using Ica And K-Nn Algorithm

... Singh and Prakash ([SP14]) reported that consideration of scientists has been gotten by content classification in last ten (10) years with the ascent in electronic substance of the reports. Finding a specific report from ...

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A CREDIT SCORING PREDICTION MODEL BASED ON HARMONY SEARCH BASED 1-NN CLASSIFIER FEATURE SELECTION APPROACH

A CREDIT SCORING PREDICTION MODEL BASED ON HARMONY SEARCH BASED 1-NN CLASSIFIER FEATURE SELECTION APPROACH

... In this paper, a new method for feature selection based on Harmony Search integrated with 1-NN classifier for predicting credit score has been proposed. The competitors‟ average accuracy has been compared ...

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