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         "1. Title of Database: Wine recognition data
	Updated Sept 21, 1998 by C.Blake : Added attribute information

2. Sources:
   (a) Forina, M. et al, PARVUS - An Extendible Package for Data
       Exploration, Classification and Correlation. Institute of Pharmaceutical
       and Food Analysis and Technologies, Via Brigata Salerno, 
       16147 Genoa, Italy.

   (b) Stefan Aeberhard, email: stefan@coral.cs.jcu.edu.au
   (c) July 1991
3. Past Usage:

   (1)
   S. Aeberhard, D. Coomans and O. de Vel,
   Comparison of Classifiers in High Dimensional Settings,
   Tech. Rep. no. 92-02, (1992), Dept. of Computer Science and Dept. of
   Mathematics and Statistics, James Cook University of North Queensland.
   (Also submitted to Technometrics).

   The data was used with many others for comparing various 
   classifiers. The classes are separable, though only RDA 
   has achieved 100% correct classification.
   (RDA : 100%, QDA 99.4%, LDA 98.9%, 1NN 96.1% (z-transformed data))
   (All results using the leave-one-out technique)

   In a classification context, this is a well posed problem 
   with \"well behaved\" class structures. A good data set 
   for first testing of a new classifier, but not very 
   challenging.

   (2) 
   S. Aeberhard, D. Coomans and O. de Vel,
   \"THE CLASSIFICATION PERFORMANCE OF RDA\"
   Tech. Rep. no. 92-01, (1992), Dept. of Computer Science and Dept. of
   Mathematics and Statistics, James Cook University of North Queensland.
   (Also submitted to Journal of Chemometrics).

   Here, the data was used to illustrate the superior performance of
   the use of a new appreciation function with RDA. 

4. Relevant Information:

   -- These data are the results of a chemical analysis of
      wines grown in the same region in Italy but derived from three
      different cultivars.
      The analysis determined the quantities of 13 constituents
      found in each of the three types of wines. 

   -- I think that the initial data set had around 30 variables, but 
      for some reason I only have the 13 dimensional version. 
      I had a list of what the 30 or so variables were, but a.) 
      I lost it, and b.), I would not know which 13 variables
      are included in the set.

   -- The attributes are (dontated by Riccardo Leardi, 
	riclea@anchem.unige.it )
 	1) Alcohol
 	2) Malic acid
 	3) Ash
	4) Alcalinity of ash  
 	5) Magnesium
	6) Total phenols
 	7) Flavanoids
 	8) Nonflavanoid phenols
 	9) Proanthocyanins
	10)Color intensity
 	11)Hue
 	12)OD280/OD315 of diluted wines
 	13)Proline            

5. Number of Instances

      	class 1 59
	class 2 71
	class 3 48

6. Number of Attributes 
	
	13

7. For Each Attribute:

	All attributes are continuous
	
	No statistics available, but suggest to standardise
	variables for certain uses (e.g. for us with classifiers
	which are NOT scale invariant)

	NOTE: 1st attribute is class identifier (1-3)

8. Missing Attribute Values:

	None

9. Class Distribution: number of instances per class

      	class 1 59
	class 2 71
	class 3 48

Information about the dataset
CLASSTYPE: nominal
CLASSINDEX: first
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         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="178" MaxDimSize="178"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:IntegerType ByteOrder="LE" Sign="true" Size="4" />
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            1065
            1050
            1185
            1480
            735
            1450
            1290
            1295
            1045
            1045
            1510
            1280
            1320
            1150
            1547
            1310
            1280
            1130
            1680
            845
            780
            770
            1035
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            830
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            1515
            990
            1235
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            880
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            760
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            680
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            970
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            520
            680
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            630
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            502
            510
            750
            718
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            714
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            520
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            625
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            680
            562
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            380
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            580
            630
            530
            560
            600
            650
            695
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            515
            580
            590
            600
            780
            520
            550
            855
            830
            415
            625
            650
            550
            500
            480
            425
            675
            640
            725
            480
            880
            660
            620
            520
            680
            570
            675
            615
            520
            695
            685
            750
            630
            510
            470
            660
            740
            750
            835
            840
            560
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
   </hdf5:Group>
   <hdf5:Group Name="data_descr" OBJ-XID="xid_16752" H5Path="/data_descr" Parents="xid_96" H5ParentPaths="/" >
      <hdf5:Dataset Name="names" OBJ-XID="xid_25544" H5Path= "/data_descr/names" Parents="xid_16752" H5ParentPaths="/data_descr">
         <hdf5:StorageLayout>
            <hdf5:ContiguousLayout/>
         </hdf5:StorageLayout>
         <hdf5:FillValueInfo FillTime="FillOnAlloc" AllocationTime="Late">
            <hdf5:FillValue>
               <hdf5:Data>
                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="14" MaxDimSize="14"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "class"
            "Alcohol"
            "Malic_acid"
            "Ash"
            "Alcalinity_of_ash"
            "Magnesium"
            "Total_phenols"
            "Flavanoids"
            "Nonflavanoid_phenols"
            "Proanthocyanins"
            "Color_intensity"
            "Hue"
            "OD280/OD315_of_diluted_wines"
            "Proline"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
      <hdf5:Dataset Name="ordering" OBJ-XID="xid_30240" H5Path= "/data_descr/ordering" Parents="xid_16752" H5ParentPaths="/data_descr">
         <hdf5:StorageLayout>
            <hdf5:ContiguousLayout/>
         </hdf5:StorageLayout>
         <hdf5:FillValueInfo FillTime="FillOnAlloc" AllocationTime="Late">
            <hdf5:FillValue>
               <hdf5:Data>
                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="5" MaxDimSize="5"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "int0"
            "double1"
            "int2"
            "double3"
            "int4"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
      <hdf5:Dataset Name="types" OBJ-XID="xid_32560" H5Path= "/data_descr/types" Parents="xid_16752" H5ParentPaths="/data_descr">
         <hdf5:StorageLayout>
            <hdf5:ContiguousLayout/>
         </hdf5:StorageLayout>
         <hdf5:FillValueInfo FillTime="FillOnAlloc" AllocationTime="Late">
            <hdf5:FillValue>
               <hdf5:Data>
                  <!-- String fill values not yet implemented. -->
                  <hdf5:NoData />
               </hdf5:Data>
            </hdf5:FillValue>
         </hdf5:FillValueInfo>
         <hdf5:Dataspace>
            <hdf5:SimpleDataspace Ndims="1">
               <hdf5:Dimension  DimSize="14" MaxDimSize="14"/>
            </hdf5:SimpleDataspace>
         </hdf5:Dataspace>
         <hdf5:DataType>
            <hdf5:AtomicType>
               <hdf5:StringType Cset="H5T_CSET_ASCII" StrSize="H5T_VARIABLE" StrPad="H5T_STR_NULLTERM"/>
            </hdf5:AtomicType>
         </hdf5:DataType>
         <hdf5:Data>
            <hdf5:DataFromFile>
            "nominal:1,2,3"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            "numeric"
            </hdf5:DataFromFile>
         </hdf5:Data>
      </hdf5:Dataset>
   </hdf5:Group>
</hdf5:RootGroup>
</hdf5:HDF5-File>