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EE3J2 Data Mining Lecture 9 Data Analysis Martin Russell PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 9 Data Analysis Martin Russell - EE3J2 Data Mining. Slide 1. EE3J2 Data Mining. Lecture 9. Data Analysis. Martin Russell ... is useful to subtract the mean (X) from each of the data points xt. ...

EE3J2 Data Mining. Slide 1. EE3J2 Data Mining. Lecture 9. Data Analysis. Martin Russell ... is useful to subtract the mean (X) from each of the data points xt. ...

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EE3J2 Data Mining Lecture 12: Sequence Analysis (2) Martin Russell PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 12: Sequence Analysis (2) Martin Russell - Large accumulative distance = poor matches between symbols = poor path ... Dynamic Programming Distance Calculation. Calculate ad(S,Q) for each sequence S in corpus ...

Large accumulative distance = poor matches between symbols = poor path ... Dynamic Programming Distance Calculation. Calculate ad(S,Q) for each sequence S in corpus ...

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EE3J2 Data Mining Lecture 11: Clustering Martin Russell PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 11: Clustering Martin Russell - To describe agglomerative and divisive clustering ... Agglomerative clustering. Divisive clustering. Decision tree interpretation ...

To describe agglomerative and divisive clustering ... Agglomerative clustering. Divisive clustering. Decision tree interpretation ...

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EE3J2 Data Mining Lecture 14: Introduction to Hidden Markov Models Martin Russell PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 14: Introduction to Hidden Markov Models Martin Russell - Introduction to hidden Markov models ... This type of analysis is sometimes referred to as template matching ... State-symbol trellis. Y A B B B X B C. A. B. C ...

Introduction to hidden Markov models ... This type of analysis is sometimes referred to as template matching ... State-symbol trellis. Y A B B B X B C. A. B. C ...

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EE3J2 Data Mining Lecture 15: Introduction to Artificial Neural Networks Martin Russell PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 15: Introduction to Artificial Neural Networks Martin Russell - Sigmoid activation function for u4. If input to u1 is 2 and input to ... Activation functions linear and sigmoid. Linear boundary defined by a single neurone ...

Sigmoid activation function for u4. If input to u1 is 2 and input to ... Activation functions linear and sigmoid. Linear boundary defined by a single neurone ...

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EE3J2 Data Mining Lecture 20 Sequence Analysis 2: BLAST Algorithm Ali AlShahib PowerPoint PPT Presentation

EE3J2 Data Mining Lecture 20 Sequence Analysis 2: BLAST Algorithm Ali AlShahib - ( Green monkey) 295 3e-80. SW:HBB_MACFU P02027 HEMOGLOBIN BETA CHAIN. ... ( Spider monkey) 292 2e-79. SW:HBB_MANSP P08259 HEMOGLOBIN BETA CHAIN. ( Mandrill) 291 4e-79 ...

( Green monkey) 295 3e-80. SW:HBB_MACFU P02027 HEMOGLOBIN BETA CHAIN. ... ( Spider monkey) 292 2e-79. SW:HBB_MANSP P08259 HEMOGLOBIN BETA CHAIN. ( Mandrill) 291 4e-79 ...

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Ee3j2 PowerPoint PPT Presentations