/*-------------------------------------------------------------------*/
/* Data set describing a set of fictitious hotels (price per room,   */
/* furnishings). The learning result should be a grouping into cheap */
/* and luxury hotels.                                                */
/*-------------------------------------------------------------------*/

/* Description of the features as a list of (type and name) */

features([[numeric,minPrice],              /* minimum price per room */
          [nominal,tv],                    /* room with TV? */
          [nominal,bar]]).                 /* room with bar? */

/* Description of the examples (cases):
   first element: case-id (will not be used in clustering);
   rest of the list: attribute value pairs.
*/

case([sheraton,250,y,y]).
case([ritz,223,y,y]).
case([kempinski,224,y,y]).
case([sonja,40,n,y]).
case([ostermann,35,n,n]).
case([zur_gruenen_wiese,50,y,n]).