Enhancing MEDLINE Document Clustering using SSNCUT With MS and GC Constraints
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 3
Abstract
The Global content and Mesh Semantic information are considered for clustering the biomedical documents from whole MEDLER collection and Mesh Semantic information. Previously by using Semi supervised Non Negative Matrix Factorization for clustering biomedical documents are not efficient for integrating more information and inefficacious because of limited space representation for combining different analogies. To overcome this limitation a Semi supervised Normalized cut and MPCKmeans algorithm is proposed over this analogies with two constraints ML and CL constraints. And the performance of the above algorithms are demonstrated on MEDLINE document clustering.Another interesting finding was that ML constraints more effectively worked than CL constraints. We evaluate the proposed method on benchmark datasets and the results demonstrate consistent and substantial improvements over the current state. Experimental results show that integrating the semantic and content similarities outperforms the case of using only one of the two similarities, being statistically significant. We further find the best parameter setting that is consistent over all experimental conditions conducted. And finally show a typical example of resultant clusters, confirming the effectiveness of our strategy in improving MEDLINE document clustering.
Authors and Affiliations
V. Aishwarya
Keywords
Related Articles
- EP ID EP122485
- DOI -
- Views 85
- Downloads 0
Design and Analysis of a D2D based System for Contents Transfer
Content transfer amount, which is based on mobile communication networks in the development of applications for many applications and the dissemination of rapid smart devices, has increased. However, as mobile da...
Performance Evaluation of Various Channel Coding Techniques for Mimo-Ofdm
In wireless communication, the BER performance is affected by channel noise, synchronization error, distortion and wireless fading channel. The Multiple-input and multiple-output (MIMO) is the use of multiple ant...
SURVEY PAPER ON THE PROBLEM FOR PARKING VEHICLES IN THE CITY
If we will say about the population of cities and of course India is increasing day by day. If consider the problems of cities than the traffic has become the crucial factor for any city and we will get the space...
Advanced Neural Network Applied In Engineering Science
The basic idea behind a neural network is to simulate (copy in a simplified but reasonably faithful way) lots of densely interconnected brain cells inside a computer so you can get it to learn things, recognize pa...
ASSESSMENT OF WATER QUALITY STATUS OF YAMUNA RIVER AND ITS TREATMENT BY ELECTRODE BASED TECHNIQUES
The objective of this study is to reveal the present condition of pollution level of the water of Yamuna River in Delhi due to direct injection of untreated domestic drains and industrial effluents. Very expensive...