You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I know the example provided in the package README is a synthetic example intended to showcase a basic program execution. However, I believe the score presented may be a bit misleading because in the dataset used, "dataset_1.txt", the noise instances appear to be labeled as "-1", not "0" as assumed by the package implementation itself. As far as I understand, this means they are considered a real cluster during the DBCV computation, thus substantially modifying the estimated metric score (reported estimation=0.6149, estimation w/ labels fixed=0.8576).
The same issue presumably applies to all other example datasets.
Also, am I correct by assuming that the distance metric used during the DBCV computation is the squared euclidean distance? I understand this is a legitimate choice; I just want to clarify if my understanding is correct.
The text was updated successfully, but these errors were encountered:
Hello,
I know the example provided in the package README is a synthetic example intended to showcase a basic program execution. However, I believe the score presented may be a bit misleading because in the dataset used, "dataset_1.txt", the noise instances appear to be labeled as "-1", not "0" as assumed by the package implementation itself. As far as I understand, this means they are considered a real cluster during the DBCV computation, thus substantially modifying the estimated metric score (reported estimation=
0.6149
, estimation w/ labels fixed=0.8576
).The same issue presumably applies to all other example datasets.
Also, am I correct by assuming that the distance metric used during the DBCV computation is the squared euclidean distance? I understand this is a legitimate choice; I just want to clarify if my understanding is correct.
The text was updated successfully, but these errors were encountered: