diff --git a/scripts/clustering.R b/scripts/clustering.R
index 40d1573..bef949c 100644
--- a/scripts/clustering.R
+++ b/scripts/clustering.R
@@ -1,5 +1,5 @@
 # case study using mclust package
-tool_exec <- function(in_params, out_prams)
+tool_exec <- function(in_params, out_params)
 {
   if (!requireNamespace("sp", quietly = TRUE))
     install.packages("sp")
@@ -10,10 +10,10 @@ tool_exec <- function(in_params, out_prams)
 
   source_dataset = in_params[[1]]
   #nclust = in_params[[2]]
-  out_table = out_prams[[1]]
-  out_ellipses = out_prams[[2]]
-  out_dens = out_prams[[3]]
-  out_sim = out_prams[[4]]
+  out_table = out_params[[1]]
+  out_ellipses = out_params[[2]]
+  out_dens = out_params[[3]]
+  out_sim = out_params[[4]]
   ### read data
   arc.progress_label("Loading Dataset")
   d <- arc.open(source_dataset)
@@ -106,7 +106,7 @@ tool_exec <- function(in_params, out_prams)
     arc.write(out_sim, data=list(id=1:length(sim.xy$x)), sim.xy, list(type='Point', WKT=arc.shapeinfo(data_shp)$WKT))
   }
   arc.progress_label("Done")
-  return(out_prams)
+  return(out_params)
 }
 
 simulation <- function(bestModel, n)
@@ -158,4 +158,4 @@ foo <- function()
       list("d:\\Data\\R-staff\\samps\\data.gdb\\spruce_trees", NULL),
       list(NULL, NULL, NULL, "in_memory\\sim")
    )
-}
\ No newline at end of file
+}