In this paper, we propose a new method of representing documents based on clustering of
term frequency vectors. For each class of documents we propose to create multiple clusters …

In this paper, a simple and efficient symbolic text classification is presented. We propose a
new method of representing documents based on clustering of term frequency vectors. For …

Classification of text documents based on clustering is presented in this paper. We propose
a new method of representing documents using symbolic data analysis. For each class of …

In this paper, a simple and efficient symbolic text classification is presented. A text document
is represented by the use of interval valued symbolic features. Subsequently, a new feature …

In this paper, we propose a new method of representing text documents based on feature
clustering approach. The proposed representation method is very powerful in reducing the …

Automatic text classification is a problem of assigning text documents to pre-defined classes.
In order to classify text documents, a good set of text representation from the training set …

This paper presents a novel method of representing a text document by the use of interval
valued symbolic features. A method of classification of text documents based on the …

In this paper, we present symbolic classifiers to classify text documents. We propose to use
cluster based symbolic representation followed by symbolic feature selection methods to …

In this paper, a simple and efficient symbolic text classification is presented. A text document
is represented by the use interval valued symbolic features. Subsequently, a new feature …

In this paper, we proposed a novel method of representing text documents based on
clustering of term frequency vector. In order to cluster the term frequency vectors, we make …