Name
Title | ||
|---|---|---|
Performance based analysis between k-Means and Fuzzy C-Means clustering algorithms for connection oriented telecommunication data. |
Abstract | ||
|---|---|---|
•The partition based clustering algorithms k-Means and Fuzzy C-Means algorithms are taken for analysis via its computational time.•The distance between servers and user connections of telecommunication data are taken for clustering.•The computational time and number of connections in each server was reported by the algorithms after clustering process.•The distribution of data points by k-Means algorithm is even to all the data centers, but, it is not even by the FCM algorithm.•From the experimental analysis, the computational time of k-Means algorithm is less than the FCM algorithm. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.asoc.2014.02.011 | Applied Soft Computing |
Keywords | Field | DocType |
k-Means algorithm,Fuzzy C-Means algorithm,Data clustering,Data analysis,Telecommunication data | Fuzzy clustering,Data mining,CURE data clustering algorithm,Telecommunications,Computer science,Source data,Theoretical computer science,Artificial intelligence,Cluster analysis,k-medians clustering,k-means clustering,Clustering high-dimensional data,Data stream clustering,Machine learning | Journal |
Volume | ISSN | Citations |
19 | 1568-4946 | 15 |
PageRank | References | Authors |
0.66 | 9 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Velmurugan T. | 1 | 15 | 0.66 |