Data Mining: Multimedia, Soft Computing, and Bioinformatics
|
From inside the book
Results 1-3 of 82
Page 236
... method would follow the reverse sequence . Although this method does not require the number of clusters c to be prespecified , it needs a termination condition . 6.3.2.2 Distance measure Generally , the distance matrix is used as the ...
... method would follow the reverse sequence . Although this method does not require the number of clusters c to be prespecified , it needs a termination condition . 6.3.2.2 Distance measure Generally , the distance matrix is used as the ...
Page 313
... method [ 24 ] , a pedagogical method X2R [ 38 ] , and a decision tree - based method C4.5 [ 10 ] in terms of the quantitative performance measures ( Section 2.4.2 ) . The set of rules extracted from the network is presented in Table 8.3 ...
... method [ 24 ] , a pedagogical method X2R [ 38 ] , and a decision tree - based method C4.5 [ 10 ] in terms of the quantitative performance measures ( Section 2.4.2 ) . The set of rules extracted from the network is presented in Table 8.3 ...
Page 382
... method was improved by Rost and Sander [ 9 ] , by using multiple - sequence alignment . This has been further developed by Riis and Krogh [ 10 ] , with ensembles of combining networks , for greater accuracy in prediction . The Softmax ...
... method was improved by Rost and Sander [ 9 ] , by using multiple - sequence alignment . This has been further developed by Riis and Krogh [ 10 ] , with ensembles of combining networks , for greater accuracy in prediction . The Softmax ...
Contents
Soft Computing | 37 |
Multimedia Data Compression | 89 |
standard | 129 |
Copyright | |
9 other sections not shown
Other editions - View all
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya Limited preview - 2005 |
Data Mining: Multimedia, Soft Computing, and Bioinformatics Sushmita Mitra,Tinku Acharya No preview available - 2005 |
Common terms and phrases
applications approach association rules ATATA binary Bioinformatics Boyer-Moore algorithm C₁ categorical classification clustering coding coefficients color components computational complexity content-based image retrieval corresponding data compression data mining database dataset decision tree decoder defined dictionary distance document domain efficient encoder outputs entropy entropy encoding evaluation example extracted feature fuzzy sets gene Hence Huffman code IEEE Transactions image retrieval initial input integer involving JPEG Karp-Rabin knowledge discovery knowledge-based network learning length linguistic matching algorithms matrix measure method mismatch Mitra multimedia data neural networks neuro-fuzzy neurons objects occurrence optimal partition pattern matching pixel prediction prefix protein pruning quantization query represented result rough set sample Section sequence shown in Fig soft computing split statistical string matching structure substring suffix symbol Table techniques text mining transformed vector wavelet Web mining weights