This paper proposes an improved k NN text classification method. The k NN algorithm in
vector space models (VSM) has several limitations, such as occupying excessive storage …

KNN algorithm which is one of the best methods of text classifying in the vector space model
(VSM) is a simple, example based and none-parameter method. But in the KNN algorithm …

This work implements a new text document classifier by integrating the K-nearest neighbor
(KNN) classification approach with the support vector machine (SVM) training algorithm. The …

Among the many text classification algorithms based on vector space model, the effect of
KNN (K-Nearest Neighbor) classifier is outstanding. For KNN classification algorithm …

The traditional KNN text classification algorithm used all training samples for classification,
so it had a huge number of training samples and a high degree of calculation complexity …

This paper propose a method which improves performance of kNN based text classification
by using well estimated parameters. Some variants of the kNN method with different …

Text categorization is one important task of text mining, for automated classification of large
numbers of documents. Many useful supervised learning methods have been introduced to …

The high computational complexity of text classification is a significant problem with the
growing surge in text data. An effective but computationally expensive classification is the k …

Text classification is the important part of information retrieved and text mining, in text
classification process, the traditional KNN classification algorithm's calculation volume is …

Vector space model is used in most text categorization methods without considering the
important information such as the order and co-occurrence of words within the text. In this …