fix: set dbscan and co to density instead or partitioning

mlr-org · Apr 22, 2024 · c0ca811 · c0ca811
1 parent a922215
commit c0ca811
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Showing 5 changed files with 5 additions and 5 deletions.
diff --git a/R/LearnerClustDBSCAN.R b/R/LearnerClustDBSCAN.R
@@ -42,7 +42,7 @@ LearnerClustDBSCAN = R6Class("LearnerClustDBSCAN",
         feature_types = c("logical", "integer", "numeric"),
         predict_types = "partition",
         param_set = param_set,
-        properties = c("partitional", "exclusive", "complete"),
+        properties = c("density", "exclusive", "complete"),
         packages = "dbscan",
         man = "mlr3cluster::mlr_learners_clust.dbscan",
         label = "Density-Based Clustering"

diff --git a/R/LearnerClustDBSCANfpc.R b/R/LearnerClustDBSCANfpc.R
@@ -53,7 +53,7 @@ LearnerClustDBSCANfpc = R6Class("LearnerClustDBSCANfpc",
         feature_types = c("logical", "integer", "numeric"),
         predict_types = "partition",
         param_set = param_set,
-        properties = c("partitional", "exclusive", "complete"),
+        properties = c("density", "exclusive", "complete"),
         man = "mlr3cluster::mlr_learners_clust.dbscan_fpc",
         label = "Density-Based Clustering with fpc"
       )

diff --git a/R/LearnerClustHDBSCAN.R b/R/LearnerClustHDBSCAN.R
@@ -33,7 +33,7 @@ LearnerClustHDBSCAN = R6Class("LearnerClustHDBSCAN",
         feature_types = c("logical", "integer", "numeric"),
         predict_types = "partition",
         param_set = param_set,
-        properties = c("partitional", "exclusive", "complete"),
+        properties = c("density", "exclusive", "complete"),
         packages = "dbscan",
         man = "mlr3cluster::mlr_learners_clust.hdbscan",
         label = "HDBSCAN Clustering"

diff --git a/R/LearnerClustOPTICS.R b/R/LearnerClustOPTICS.R
@@ -41,7 +41,7 @@ LearnerClustOPTICS = R6Class("LearnerClustOPTICS",
         feature_types = c("logical", "integer", "numeric"),
         predict_types = "partition",
         param_set = param_set,
-        properties = c("partitional", "exclusive", "complete"),
+        properties = c("density", "exclusive", "complete"),
         packages = "dbscan",
         man = "mlr3cluster::mlr_learners_clust.optics",
         label = "OPTICS Clustering"

diff --git a/R/zzz.R b/R/zzz.R
@@ -24,7 +24,7 @@ register_mlr3 = function() {
   x$task_col_roles$clust = x$task_col_roles$regr
   x$task_properties$clust = x$task_properties$regr
   x$learner_properties$clust = c(
-    "missings", "partitional", "hierarchical", "exclusive", "overlapping", "fuzzy", "complete", "partial"
+    "missings", "partitional", "hierarchical", "exclusive", "overlapping", "fuzzy", "complete", "partial", "density"
   )
 
   # measure