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Clustering Categorical Data The Case of Quran Verses

2. Outline. IntroductionPreprocessing of Quran VersesSimilarity MeasuresAssisting Clusters SimilaritiesShortcomings of Traditional clustering methods with categorical dataROCK - Major definitionsROCK clustering AlgorithmROCK exampleConclusion and future work. 3. Introduction. The holy Quran

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Clustering Categorical Data The Case of Quran Verses

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    1. 1 Clustering Categorical Data The Case of Quran Verses Presented By Muhammad Al-Watban IS 598

    2. 2 Outline Introduction Preprocessing of Quran Verses Similarity Measures Assisting Clusters Similarities Shortcomings of Traditional clustering methods with categorical data ROCK - Major definitions ROCK clustering Algorithm ROCK example Conclusion and future work

    3. 3 Introduction The holy Quran covers a wide range of topics. Quran does not cover each topic by a set of sequenced verses or sura’s. A single verse usually deals with many subjects Project goal: to cluster the verses of The Holy Quran based on the verse’s subjects.

    4. 4 Preprocessing of Quran Verses it is necessary to perform manual preprocessing for the Quran text to capture the subjects of the verses into a tabular format Verses in the Holy Quran can be viewed as records and the related subjects as attributes of the record. This is demonstrated by the following table: The data in the above table is similar to what is known as market-basket data. Here, we will call it verses-treasues data

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