Name
Title | ||
|---|---|---|
A Novel Initialization Approach for Fuzzy C-Means algorithm using Unsupervised Random Forest Method |
Abstract | ||
|---|---|---|
The Fuzzy C-Means algorithm is a Clustering algorithm that allows a data point to belong two or more clusters partially. It makes use of fuzzy matrix which contains the information about the membership of the data points to every cluster. It takes the number of clusters and the initialized fuzzy matrix as input to generate the fuzzy matrix which then is used to partition the data. There are two ma... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TENCON54134.2021.9707305 | TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) |
Keywords | DocType | ISBN |
Conferences,Clustering algorithms,Random forests,Convergence,IEEE Regions | Conference | 978-1-6654-9532-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bhavikkumar Tandel | 1 | 0 | 0.34 |
| Ashish Phophalia | 2 | 0 | 0.34 |