K-Means Clustering For Segment Web Search Results
Hasitha Indika Arumawadu, R. M. Kapila Tharanga Rathnayaka, S. K. Illangarathne · Zenodo (CERN European Organization for Nuclear Research) · 2015
Clustering is the power full technique for segment relevant data into different levels. This study has proposed K-means clustering method for cluster web search results for search engines. For represent documents we used vector space model and use cosine similarity method for measure similarity between user query and the search results. As an improvement of K-means clustering we used distortion curve method for identify optimal initial number of clusters.