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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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1. 1 Clustering Categorical DataThe 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