Ignore:
Timestamp:
11/05/14 17:40:10 (10 years ago)
Author:
atrautsch
Message:

comment fixes

File:
1 edited

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  • trunk/CrossPare/src/de/ugoe/cs/cpdp/training/WekaLocalFQTraining.java

    r23 r25  
    3030 * IEEE Transactions on Software Engineering, vol. 39, no. 6, pp. 822-834, June, 2013   
    3131 *  
    32  * With WekaLocalTraining2 we do the following: 
     32 * With WekaLocalFQTraining we do the following: 
    3333 * 1) Run the Fastmap algorithm on all training data, let it calculate the 2 most significant  
    3434 *    dimensions and projections of each instance to these dimensions 
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