Loading...
Please wait, while we are loading the content...
Similar Documents
Document Clustering Using Improved K-Means Algorithm
| Content Provider | Semantic Scholar |
|---|---|
| Author | Khatri, Shreyata Garg, Kanwal |
| Copyright Year | 2016 |
| Abstract | Clustering is the process where similar documents are grouped under a single cluster. K-means clustering is a common approach based on selecting initial centroids randomly. In this paper, improved k-means clustering algorithm is used for document clustering by predicting centres manually. The algorithm uses Euclidean similarity measures to place similar documents in proper clusters. Experimental results showed that accuracy of proposed algorithm is high compare to existing algorithm in terms of FMeasure and time complexity. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://pnrsolution.org/Datacenter/Vol4/Issue3/110.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
