Ensemble Clustering on MNIST
80.58Class AccuracyU-SENC
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| U-SENCruns=20, p=1000, K=52019.03 | 80.58 | — | — | — | — | |
| U-SPECruns=20, p=1000, K=52019.03 | 74.31 | — | — | — | — | |
| EACruns=20, base clustering=k-means2019.03 | 73.12 | — | — | — | — | |
| LWGPruns=20, base clustering=k-means2019.03 | 71.98 | — | — | — | — | |
| WCTruns=20, base clustering=k-means2019.03 | 70.73 | — | — | — | — | |
| PTGPruns=20, base clustering=k-means2019.03 | 65.06 | — | — | — | — | |
| ECCruns=20, base clustering=k-means2019.03 | 61.18 | — | — | — | — | |
| KCCruns=20, base clustering=k-means2019.03 | 59.86 | — | — | — | — | |
| SECruns=20, base clustering=k-means2019.03 | 43.13 | — | — | — | — | |
| EACNumber of runs=20, Base clustering=k-means2019.03 | — | 66.19 | — | — | — | |
| ECCNumber of runs=20, Base clustering=k-means2019.03 | — | 56.01 | — | — | — | |
| KCCNumber of runs=20, Base clustering=k-means2019.03 | — | 54.34 | — | — | — | |
| LWGPNumber of runs=20, Base clustering=k-means2019.03 | — | 65.06 | — | — | — | |
| PTGPNumber of runs=20, Base clustering=k-means2019.03 | — | 59.93 | — | — | — | |
| SECNumber of runs=20, Base clustering=k-means2019.03 | — | 34.19 | — | — | — | |
| U-SENCNumber of runs=20, p=1000, K=52019.03 | — | 75.02 | — | — | — | |
| U-SPECNumber of runs=20, p=1000, K=52019.03 | — | 67.43 | — | — | — | |
| WCTNumber of runs=20, Base clustering=k-means2019.03 | — | 65.6 | — | — | — |