Data Mining: Multimedia, Soft Computing, and Bioinformatics
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Page 172
... distance , Edit distance , etc. There are other complex measures of ' difference ' , mainly in computational biology , but most of the popular and useful algorithms have been developed based on the Levenshtein distance . 4.4.1.1 Hamming ...
... distance , Edit distance , etc. There are other complex measures of ' difference ' , mainly in computational biology , but most of the popular and useful algorithms have been developed based on the Levenshtein distance . 4.4.1.1 Hamming ...
Page 199
... distance . Let m ; be the prototype for the i = 1 , ... , l classes , such that the distance between an arbitrary pattern vector X and the ith prototype is given by Di. When a non - Euclidean metric like the Mahalanobis distance is used ...
... distance . Let m ; be the prototype for the i = 1 , ... , l classes , such that the distance between an arbitrary pattern vector X and the ith prototype is given by Di. When a non - Euclidean metric like the Mahalanobis distance is used ...
Page 229
... DISTANCE MEASURES AND SYMBOLIC OBJECTS Before moving on to clustering methodologies , let us explain what distance between a pair of objects refers to . In the context of mixed media data , the distance cannot be constrained to the ...
... DISTANCE MEASURES AND SYMBOLIC OBJECTS Before moving on to clustering methodologies , let us explain what distance between a pair of objects refers to . In the context of mixed media data , the distance cannot be constrained to the ...
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