Name
Abstract | ||
|---|---|---|
The paper is about speeding-up the k-means clustering method which processes the data in a faster pace, but produces the same clustering result as the k-means method. We present a prototype based method for this where prototypes are derived using the leaders clustering method. Along with prototypes called leaders some additional information is also preserved which enables in deriving the k means. Experimental study is done to compare the proposed method with recent similar methods which are mainly based on building an index over the data-set. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-11164-8_10 | PReMI |
Keywords | Field | DocType |
additional information,k-means method,faster pace,experimental study,clustering result,recent similar method,k-means clustering method,k means,indexation,k means clustering | Fuzzy clustering,Canopy clustering algorithm,Data mining,Clustering high-dimensional data,CURE data clustering algorithm,Data stream clustering,Correlation clustering,Computer science,Artificial intelligence,Cluster analysis,Machine learning,Single-linkage clustering | Conference |
Volume | ISSN | Citations |
5909 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| T. Hitendra Sarma | 1 | 26 | 2.16 |
| P. Viswanath | 2 | 148 | 11.77 |