Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.
Exercise docID document text docID document text 1 hot chocolate cocoa beans 7 sweet sugar 2345 9 cocoa ghana africa 8 sugar cane brazil beans harvest ghana 9 sweet sugar beet cocoa butter butter truffles sweet chocolate 10 sweet cake icing 11 cake black forest Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.
Chapter6: Additional Database Objects
Section: Chapter Questions
Problem 14MC
Related questions
Question

Transcribed Image Text:Exercise
docID document text
docID document text
1
hot chocolate cocoa beans
7
sweet sugar
2345
9
cocoa ghana africa
8
sugar cane brazil
beans harvest ghana
9
sweet sugar beet
cocoa butter
butter truffles
sweet chocolate
10
sweet cake icing
11
cake black forest
Clustering by k-means, with preprocessing tokenization, term weighting TFIDF.
Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.
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