diff --git "a/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_raw.json" "b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_raw.json" new file mode 100644--- /dev/null +++ "b/PL9fwy3NUQKwYNuAEg27anya7EYamnohGd/5xZPpqSUrAA_raw.json" @@ -0,0 +1 @@ +{"segments": [{"id": 1, "seek": 2797, "start": 2.65, "end": 27.97, "text": "باسم الله و الحمد لله الصلاة والسلام على رسول الله أهلا وسهلا بكم حضرتنا التالية في مساق تنقيب البيانات نتكلم على ال clustering كنا غطينا في chapter ال clustering مفهوم ال clustering أنه عبارة عن تقسيم ال data set اللي موجودة عندى لمجموعات بناء على ال similarities أو التشابه ما بين ال instances اللي موجودة فيها", "tokens": [3555, 32277, 2304, 21984, 4032, 21542, 2304, 3215, 24976, 3224, 31767, 15040, 3660, 16070, 3794, 37440, 15844, 12602, 3794, 12610, 21984, 5551, 3224, 15040, 46952, 3224, 15040, 4724, 24793, 11331, 11242, 43500, 8315, 16712, 6027, 10632, 8978, 47524, 995, 4587, 6055, 1863, 38436, 3555, 2423, 21292, 7649, 9307, 8717, 2655, 4117, 19528, 15844, 2423, 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hierarchical clustering ان شاء الله تعالى", "tokens": [3224, 2407, 9673, 5016, 46958, 25720, 16472, 13412, 16606, 21984, 6055, 3555, 9640, 4117, 34683, 3615, 6027, 7578, 8032, 29399, 4117, 19528, 15844, 28239, 45367, 16712, 7649, 1829, 9154, 2423, 13630, 278, 13672, 1829, 31439, 2423, 35250, 804, 13630, 278, 16472, 13412, 16606, 21984, 37279, 6027, 7578], "avg_logprob": -0.30289713852107525, "compression_ratio": 1.537313432835821, "no_speech_prob": 0.0, "words": [{"start": 57.34, "end": 57.7, "word": "هو", "probability": 0.39208984375}, {"start": 57.7, "end": 58.32, "word": " المحاضرة", "probability": 0.881591796875}, {"start": 58.32, "end": 58.5, "word": " ان", "probability": 0.3681640625}, {"start": 58.5, "end": 58.74, "word": " شاء", "probability": 0.963623046875}, {"start": 58.74, "end": 58.82, "word": " الله", "probability": 0.94091796875}, {"start": 58.82, "end": 59.2, "word": " تبارك", "probability": 0.7828369140625}, {"start": 59.2, "end": 59.6, "word": " وتعالى", 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"word": " موجودة", "probability": 0.902587890625}, {"start": 231.83, "end": 232.09, "word": " عنده", "probability": 0.636962890625}, {"start": 232.09, "end": 232.31, "word": " وين", "probability": 0.71337890625}, {"start": 232.31, "end": 232.81, "word": " في", "probability": 0.4228515625}, {"start": 232.81, "end": 233.29, "word": " داخل", "probability": 0.9397786458333334}, {"start": 233.29, "end": 233.45, "word": " ال", "probability": 0.95947265625}, {"start": 233.45, "end": 233.85, "word": " cluster", "probability": 0.97607421875}, {"start": 233.85, "end": 234.17, "word": " اللي", "probability": 0.970947265625}, {"start": 234.17, "end": 234.45, "word": " موجود", "probability": 0.98046875}, {"start": 234.45, "end": 235.17, "word": " عندها", "probability": 0.951416015625}, {"start": 235.17, "end": 236.27, "word": " فعليا", "probability": 0.936767578125}, {"start": 236.27, "end": 236.39, "word": " انا", "probability": 0.6754150390625}, {"start": 236.39, "end": 236.49, "word": " في", 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259.57, "word": " مستقل", "probability": 0.964111328125}, {"start": 259.57, "end": 260.29, "word": " وبعد", "probability": 0.804931640625}, {"start": 260.29, "end": 260.55, "word": " هيك", "probability": 0.800537109375}, {"start": 260.55, "end": 260.89, "word": " بصير", "probability": 0.64794921875}, {"start": 260.89, "end": 261.23, "word": " ادمج", "probability": 0.7596842447916666}, {"start": 261.23, "end": 261.41, "word": " ما", "probability": 0.8486328125}, {"start": 261.41, "end": 261.61, "word": " بين", "probability": 0.99365234375}, {"start": 261.61, "end": 261.85, "word": " كل", "probability": 0.947265625}, {"start": 261.85, "end": 262.15, "word": " two", "probability": 0.87744140625}, {"start": 262.15, "end": 262.87, "word": " clusters", "probability": 0.95556640625}], "temperature": 1.0}, {"id": 12, "seek": 28523, "start": 263.89, "end": 285.23, "text": "الشرط الدمج أنه في عندى شغل بنسميها ال linkage criteria أو ال linkage distance أو ال linkage function اللي هي شرط الدمج هنا 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الناتجة عادة بتكون متقاربة في الأحجام يعني بين جثين أنه ال data أو عدد العناصر اللي موجودة في كل ال clusters بتكون متقاربة طيب الفكرة في ال agglomerate بشكل عام هي كل ال data موجودة عندى قلنا ال initial كل واحدة عبارة عن cluster فببدأ يروح يدور على المسافات بين كل النقاط", "tokens": [6027, 39184, 2033, 8393, 28239, 9307, 7435, 3660, 6225, 18513, 3660, 39894, 30544, 44650, 4587, 9640, 49401, 8978, 16247, 5016, 7435, 10943, 37495, 22653, 49374, 10874, 12984, 9957, 14739, 3224, 2423, 1412, 34051, 6225, 3215, 3215, 18863, 1863, 33546, 2288, 13672, 1829, 3714, 29245, 23328, 3660, 8978, 28242, 2423, 23313, 39894, 30544, 44650, 4587, 9640, 49401, 23032, 1829, 3555, 27188, 4117, 25720, 8978, 2423, 623, 7191, 14301, 473, 4724, 8592, 28820, 6225, 10943, 39896, 28242, 2423, 1412, 3714, 29245, 23328, 3660, 43242, 7578, 12174, 1211, 8315, 2423, 5883, 28242, 36764, 24401, 3660, 6225, 3555, 9640, 3660, 18871, 13630, 6156, 3555, 44510, 10721, 7251, 32887, 5016, 7251, 3215, 13063, 15844, 9673, 3794, 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