Document Classification Based on the Topic Evaluation and Its Usage in Data Compression

Several actions are usually performed when document is appended to textual database in information retrieval system. The most frequent actions are compression of the document and cluster analysis of the textual database to improve quality of answers to users' queries. The information retrieved from the clustering can be very helpful in compression. Word-based compression using information about cluster hierarchy is presented in this paper. Some experimental results are provided at the end of the paper.