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
Copy file name to clipboardExpand all lines: README.md
+2-2
Original file line number
Diff line number
Diff line change
@@ -2,8 +2,8 @@
2
2
This is a simple program that identifies clusters in a dataset with more than x and y attribute.
3
3
4
4
# Input
5
-
- The directory of the data where the k means needs to be implemented. The input data must be stripped of all texts and the first column must include either row number or an unique identifier. This column will not be used in any calculation.
5
+
- The directory of the data upon which the k means algorithm needs to be implemented. The input data must be stripped of all texts and the first column must include either row number or an unique identifier. This column will not be used in any calculation.
6
6
- Maximum number of iterations
7
7
8
8
# Output
9
-
- CSV file containing the data separed into its own clusters and 4 line space differentiating the border between two clusters.
9
+
- CSV file containing the data separed into its own clusters and 4 line space differentiating the border between each individual clusters.
0 commit comments