Question: Exercise table [ [ docID , document text,docID,document text ] , [ 1 , hot chocolate cocoa beans, 7 , sweet sugar ] ,

Exercise
\table[[docID,document text,docID,document text],[1,hot chocolate cocoa beans,7,sweet sugar],[2,cocoa ghana africa,8,sugar cane brazil],[3,beans harvest ghana,9,sweet sugar beet],[4,cocoa butter,10,sweet cake icing],[5,butter truffles,11,cake black forest],[6,sweet chocolate,,]]
Clustering by k-means, with preprocessing tokenization, term weighting TFIDF. Manhattan Distance. Number of cluster is 2. Centroid docID 2 and docID 9.
Exercise \ table [ [ docID , document

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