An Efficient K-Means Clustering based Annotation Search from Web Databases

In our work an efficient methodology is implemented to improve the accuracy of search results from the web databases on various keywords such as movies, CD, books etc. The improvement of Alignment algorithm using K-means clustering is proposed for the searching of annotated results from the web databases. The technique implemented is for the proficient retrieval of text nodes and data units using Kmeans clustering which improves precision and recall as compared to the existing approach. The methodology implemented using K-means clustering and labeling of search records is compared with existing methodology implemented for the search records.