https://didawiki.di.unipi.it/ Mon, 11 May 2026 15:24:27 +0000 FeedCreator 1.8 https://didawiki.di.unipi.it/lib/exe/fetch.php/wiki/dokuwiki.svg https://didawiki.di.unipi.it/ https://didawiki.di.unipi.it/doku.php/dm/start/clustering Guidelines for the homework on clustering * Data Understanding: useful as a preliminary step to capture some data property that can help the clustering analysis (8 points) * Distribution analysis and suitable transformation of variables * Elimination of redundant variables by correlation analysis anonymous@undisclosed.example.com (Anonymous) Tue, 18 Dec 2012 14:20:53 +0000 https://didawiki.di.unipi.it/doku.php/dm/start/dataunderstanding Description of the variables For each car driver we observe the following quantities, measured over a certain time window of mobile activity: Length = total traveled distance (m.) Duration = total time spent driving (sec.) Count = number of different trips Phighway = distance traveled on highways (m.) Pcity = distance traveled inside cities (m.) Length_arc_crowded = distance traveled on 20% most crowded roads (m.) Pnight = distance traveled at night time (m.) Pover = distance traveled over sp… anonymous@undisclosed.example.com (Anonymous) Fri, 01 Nov 2013 00:02:26 +0000 https://didawiki.di.unipi.it/doku.php/dm/start/guidelines Guidelines for the task on Data Understanding * Data understanding (30 points) * Data semantics (3 points) * Distribution of the variables and statistics (7 points) * Assessing data quality (missing values, outliers) (7 points) * Variables transformations (6 points) anonymous@undisclosed.example.com (Anonymous) Mon, 23 Nov 2020 10:34:19 +0000