A SURVEY ON ENHANCEMENT IN ASYMMETRIC CLUSTERING ALGORITHM

There is large amount of data is present in the world. This data is coming from various sources like companies, organizations, social networking sites, image processing, world wide web, scientific and medical data etc. Peoples do not have time to look all this data. They attended towards the precious and interested information. Data mining is technique which is used to extract meaning full information from huge databases. Extracted information is visualized in the form of statics, graphs, and tables and vides etc. There are number of data mining techniques and asymmetric clustering is one of them. Asymmetric technique is type of unsupervised learning. In this, data sets which have similarity are placed in one cluster and others are in other clusters. From, number of years various asymmetric clustering technique are introduced which work well with datasets. These techniques do not work well with the complex and strongly coupled data sets. To reduce processing time and improve in asymmetric clustering algorithms.