DBSCAN性能evaluation
Hi! I'm facing the following problem.
I have to compare the performance of K-Means and DBSCAN on a given dataset.
I can easily do it with K-Means:
But I can't fit the DBSCAN block in place of the K-Means block. The outputs are different and there is no "Cluster Model" to feed the Performance block.
The old version of DBSCAN block has the same gates of K-Means, but now it is changed, as shown in the figure. In all tutorials I found the old version is used.
I have to compare the performance of K-Means and DBSCAN on a given dataset.
I can easily do it with K-Means:

But I can't fit the DBSCAN block in place of the K-Means block. The outputs are different and there is no "Cluster Model" to feed the Performance block.

The old version of DBSCAN block has the same gates of K-Means, but now it is changed, as shown in the figure. In all tutorials I found the old version is used.
0
Answers
Dortmund, Germany