Fast Efficient Clustering Algorithm for Balanced Data
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 6
Abstract
The Cluster analysis is a major technique for statistical analysis, machine learning, pattern recognition, data mining, image analysis and bioinformatics. K-means algorithm is one of the most important clustering algorithms. However, the k-means algorithm needs a large amount of computational time for handling large data sets. In this paper, we developed more efficient clustering algorithm to overcome this deficiency named Fast Balanced k-means (FBK-means). This algorithm is not only yields the best clustering results as in the k-means algorithm but also requires less computational time. The algorithm is working well in the case of balanced data.
Authors and Affiliations
Adel Sewisy, M. Marghny, Rasha ElAziz, Ahmed Taloba
Keywords
Related Articles
- EP ID EP147446
- DOI 10.14569/IJACSA.2014.050619
- Views 99
- Downloads 0
A Hybrid Method to Improve Forecasting Accuracy in the Case of Sanitary Materials Data
Sales forecasting is a starting point of supply chain management, and its accuracy influences business management significantly. In industries, how to improve forecasting accuracy such as sales, shipping is an important...
Decision Making Systems for Managing Business Processes in Enterprises Groups
In the current economic realities, the forms of integration business entities through the creation of enterprise groups (EGs), reorganized from industry structures or created a new by acquiring existing companies, are be...
Diabetes Monitoring System Using Mobile Computing Technologies
Diabetes is a chronic disease that needs to regularly be monitored to keep the blood sugar levels within normal ranges. This monitoring depends on the diabetic treatment plan that is periodically reviewed by the endocrin...
Model for Enhancing Requirements Traceability and Analysis
Software quality has been a challenge since the inception of computer software. Software requirements gathering, analysis, and specification; are viewed by many as the principle cause of many of the software comple...
The Designing of Adaptive Self-Assessment Activities in Second Language Learning using Massive Open Online Courses (MOOCs)
Massive Open Online Courses (MOOCs) provides an effective learning platform with various high-quality educational materials accessible to learners from all over the world. In this paper, the types of learner characterist...