K-Mean and K-Prototype Algorithms Performance Analysis
Izhar Ahmad · 2014
Evaluation of computer and information technologies has changed the way people used to communicate and perform their tasks. Data mining algorithm is utilized for converting the data in to knowledge information that can be used in future for performing different tasks. In this research, we have presented a system design approach for the K-Mean and K-Prototype Algorithms Performance Analysis. The system architecture in this research is presents a detail discussion of the k-means and k-prototype to recommend efficient algorithm for outlier detection and other issues relating to the database clustering. The system design approach is based on the open source technologies. The verification and validation of the system is based on the simulation. 1. Intriduction Advancement in the database storage, mining and data processing methods is considered as the centre piece of attention since years, especially in the field of computer sciences, engineering and management. The demand of the data ware housing is increasing day by day. There are number of cooperates, Small Business Companies [SME], Finical institutes and many other businesses which have been utilizing the database for different storage and automation purpose. The scientists have been using these databases for performing number of experiments.