Nearest neighbor classi®er: Simultaneous editing and feature selection

Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets

Combining multiple classi ers is an e ective technique for improving accuracy. There are many general combining algorithms, such as Bagging or Error Correcting Output Coding, that signi cantly improve classi ers like decision trees, rule learners, or neural networks. Unfortunately, many combining methods do not improve the nearest neighbor classi er. In this paper, we present MFS, a combining a...

Nearest neighbor classifier: Simultaneous editing and feature selection

Application of k Nearest Neighbor on Feature Projections Classi er to Text Categorization

This paper presents the results of the application of an instance based learning algorithm k Nearest Neighbor Method on Fea ture Projections k NNFP to text categorization and compares it with k Nearest Neighbor Classi er k NN k NNFP is similar to k NN ex cept it nds the nearest neighbors according to each feature separately Then it combines these predictions using a majority voting This prop er...

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...

An Improved K-Nearest Neighbor with Crow Search Algorithm for Feature Selection in Text Documents Classification

The Internet provides easy access to a kind of library resources. However, classification of documents from a large amount of data is still an issue and demands time and energy to find certain documents. Classification of similar documents in specific classes of data can reduce the time for searching the required data, particularly text documents. This is further facilitated by using Artificial...