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1. Cluster Optimization

2. Clause

3. Categorical Attribute

4. Cross-Language Information Retrieval

5. Click-Through Rate (CTR)

6. Concept Drift

7. Categorical Data Clustering

8. Cascor

9. Cost-Sensitive Classification

10. Connections Between Inductive Inference and Machine Learning

11. Correlation-Based Learning

12. Cluster Editing

13. Compositional Coevolution

14. CC

15. Comparable Corpus

16. Confirmation Theory

17. Classification Tree

18. C4.5

19. Characteristic

20. Cost-to-Go Function Approximation

21. Closest Point

22. City Block Distance

23. Coevolutionary Computation

24. Cooperative Coevolution

25. Committee Machines

26. Causality

27. Curse of Dimensionality

28. Collaborative Filtering

29. Cross-Language Document Categorization

30. Clustering from Data Streams

31. Competitive Learning

32. Causal Discovery

33. Consensus Clustering

34. Clonal Selection

35. Class Imbalance Problem

36. Classification

37. Clustering of Nonnumerical Data

38. Co-Reference Resolution

39. CN2

40. Contextual Advertising

41. Cost-Sensitive Learning

42. Content-Based Recommending

43. Content Match

44. Clustering with Constraints

45. Co-Training

46. Continual Learning

47. Computational Complexity of Learning

48. Cluster Ensembles

49. Clustering with Side Information

50. Competitive Coevolution

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