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portada Optimized Data Clustering Technique for Categorical Data
Type
Physical Book
Author
Publisher
Language
English
Pages
132
Format
Paperback
Dimensions
22.9 x 15.2 x 0.8 cm
Weight
0.20 kg.
ISBN13
9786200300621
Categories

Optimized Data Clustering Technique for Categorical Data

Pallavi Chaudhari (Author) · Abha Chaudhari (Author) · LAP Lambert Academic Publishing · Paperback

Optimized Data Clustering Technique for Categorical Data - Chaudhari, Pallavi ; Chaudhari, Abha

New Book Imported to Taiwan
Delivery: 17 Sep - 25 Sep Shipping: 13 to 14 business days.
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NT$ 2,331

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Synopsis "Optimized Data Clustering Technique for Categorical Data"

In this book, a new clustering technique for categorical-data is introduced. Essentially, the effectiveness of a clustering technique is significantly determined by two aspects, the searching method and the proximity criteria. The proposed algorithm uses a genetic algorithm for clustering that is shown in the experiments to be an efficient clustering method for categorical-data. The proximity criteria adopt a rule-based information theoretical measure called weight of evidence. It finds the interesting patterns and measures the weight of these patterns that supporting the presence of an objective-value pair to be relevant to a cluster label. By summing up the total weight that the records acquire in the patterns due to presence of both the objective-value and the corresponding cluster label, the fitness in the chromosome is measured and hence how best the records are clustered together is seen.

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