# K-nn

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

**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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### Non-Asymptotic Uniform Rates of Consistency for k-NN Regression

**k**-

**NN**regres- sion is able to automatically adapt to the intrinsic dimension under various risk measures: the rates depend only on the intrinsic dimension and independent of ambient ...

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### An Hybrid Intrusion Detection Approach based on SVM Classification and k NN

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### A Study on Content Based Image Retrieval System using K-NN Algorithm and Mobile Agents

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### Enhanced Cache Gird Partitioning Technique for K-NN Queries

**k**-

**NN**query which continuously returns the

**k**nearest objects to the current location of the ...continuous

**k**-

**NN**queries in mobile DBSs is ...

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### A Cuisine Based Recommender System Using k NN And Mapreduce Approach

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### Ensemble Neural Network and K-NN Classifiers for Intrusion Detection

**k**-

**nn**classifier for classification of five-class data which is (normal, dos, u2r, r2l, and ...technique.

**K**-

**nn**classified data which were misclassified by

**NN**& then apply bagging ...

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### Analysis of Market Trajectory Data using k-NN

**k**-Nearest Neighborhood (

**k**-

**NN**) algorithm. The

**k**-

**NN**is an algorithm that classifies the input data into items belonging to

**k**closest training data in a specific ...

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### K-NN CLASSIFIER FOR PREDICTION OF SWINE INFLUENZA VIRUS

**k**-nearest neighbor algorithm is one of the simplest machine learning ...The

**K**-nearest neighbor classification, the output is class membership of an object is classified by majority vote of its ...

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

**k**-

**NN**classification the neighbours are chosen to which the objects property value is ...of

**k**-

**NN**algorithm is Feature ...using

**k**-

**NN**which includes feature extraction and ...

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### BIG DATA ANALYSIS USING SVM AND K-NN DATA MINING TECHNIQUES

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### Pedagogy And Reduction Of K-nn Algorithm For Filtering Samples In The Breast Cancer Treatment

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### An Efficient Mining Model For Enhancing Text Classification Using k NN

**k**= 3 it is assigned to the second class because there are 2 triangles and only 1 square inside the inner ...If

**k**= 5 it is assigned to the first class (3 squares ...phase,

**k**is a user-defined ...

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### PRIVACY PRESERVING TECHNIQUE USING K-NN CLASSIFICATION IN OUTSOURCES ENVIRONMENT

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

**k**-

**NN**is very simple algorithm to understand and implement, but it is slower when compared with ...SVM,

**k**-

**NN**is lazy algorithm , it means it start learning when it see the testing data ...

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### An Enhanced Approach for Treating Missing Value using Boosted K NN

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### k-NN Embedding Stability for word2vec Hyper-Parametrisation in Scientific Text

**k**-

**NN**stability was adopted to find the optimal window size for the used scientific corpus in this ...Then

**k**-

**NN**stability was com- puted respectively based on the previous embedding ...

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### An improved k NN algorithm for localization in multipath environments

**k**- nearest neighbor (

**k**-

**NN**) [22] algorithm is proposed by utilizing reference tags. This ...

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### Comparison of Naive Basian and K NN Classifier

**k**-nearest neighbor and naïve basin classifier based on the subset of ...that

**K**-

**NN**classifier gets competition with naïve basian ...performance

**K**-

**NN**classifier is far better then ...

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### Prediction Using Back Propagation and k-Nearest Neighbour (k-NN) Algorithm

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