Mattingly "Data Mining Techniques: Classification and Clustering"
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This presentation was provided by William Mattingly of the Smithsonian Institution, for the fourth session of NISO's 2023 Training Series on Text and Data Mining. Session four, "Data Mining Techniques" was held on Thursday, November 2, 2023.
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Mattingly "Data Mining Techniques: Classification and Clustering"
- 1. Text and Data Mining Classification and Clustering
- 2. 1. Classification 2. Clustering 3. Dimensionality Reduction Applied Goals
- 4. Classification Binary Classification Multiclass Classification Multilabel Classification Hierarchical Classification
- 5. Binary Classification Definition Binary classification is the simplest kind of classification problem. In a binary classification problem, there are two possible outcomes. Example: I hated that movie!
- 6. Binary Classification Example “I hated that movie!” Classes: POSITIVE NEGATIVE
- 7. Binary Classification Example “I disliked that movie!” Classes: POSITIVE - 0.0 NEGATIVE - 1.0
- 8. Binary Classification Example “I hated that movie!” Classes: POSITIVE - ? NEGATIVE - ?
- 9. Multiclass Classification Definition Multiclass classification involves classifying instances into one of three or more classes. Unlike binary classification, where there are only two categories, multiclass classification deals with situations where an observation must be classified into one and only one of several categories.
- 12. Multiclass Classification Example DOG - 1.0 CAT - 0.0 HORSE - 0.0
- 13. Example DOG - 1.0 CAT - 0.0 HORSE - 0.0
- 14. Multi-label Classification Definition Multilabel classification differs from binary and multiclass classification in that each instance can be assigned to multiple classes.
- 15. Multi-label Classification Example The NASDAQ rebounded Today Classes: Technology Finance Sports
- 16. Multi-label Classification Example The Chicago Bulls won 100-92 Classes: Technology Finance Sports
- 17. Multi-label Classification Example Quantum computers for the home? Classes: Technology Finance Sports
- 18. Multi-label Classification Example Apple stock soars with new M3 chip Classes: Technology Finance Sports
- 19. Hierarchical Classification Definition Hierarchical classification problems involve categories that are related to each other in a hierarchical structure. Classes can be divided into sub-classes, which can be further divided into more specific classes, and so on.
- 20. Hierarchical Classification Example ● D - World History and History of Europe, Asia, Africa, Australia, New Zealand, etc.
- 21. Hierarchical Classification Example ● D - World History and History of Europe, Asia, Africa, Australia, New Zealand, etc. ○ DA1-995 - Great Britain
- 22. Hierarchical Classification Example ● D - World History and History of Europe, Asia, Africa, Australia, New Zealand, etc. ○ DA1-995 - Great Britain ■ DA20-690 - England ■ DA700-745 - Wales ■ DA750-890 - Scotland ■ DA900-995 - Ireland
- 23. Things to Consider Challenges ● What is the problem you are trying to solve? ● Is there an existing model? ● How much data can you obtain to train a model? ● How many classes do you need? ● Are these classes marked by subtle distinctions?