Document classification is the task to split the document set into distinct highly relative
classes or groups based on nature of the document contents. Here, an improved approach …

In the technological era, exponential increase of unorganized text documents offers
increased difficulties retrieving the most relevant data. The document clustering is a most …

With the rapid growth of text documents, document clustering technique is emerging for
efficient document retrieval and better document browsing. Recently, some methods had …

Document classification is an important task due to its many potential applications. With the
ever-increasing number of digital documents, it has become imperative to design efficient …

Although words are basic semantic units in text, phrases, and expressions contain additional
information, which is important for text classification. To capture this information, traditional …

This paper proposes three feature selection algorithms with feature weight scheme and
dynamic dimension reduction for the text document clustering problem. Text document …

In the current digital world, a vast amount of data is recorded in a variety of forms like
pictures, data, video, and audio. Generally, such type of information which is available in …

With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

With the wide increase of the volume of electronic documents, it becomes inevitable the
need to invent more sophisticated machine learning methods to manage the issue. In this …

Document clustering has recently been paid great attention in retrieval, navigation, and
summarization of huge volumes of documents. With a better document clustering approach …