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CMPUT 690 – Topics in Databases Knowledge Discovery in Databases Additional Slides for Clustering II: Animation of the OPTICS Algorithm Dr. Jörg Sander.

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Presentation on theme: "CMPUT 690 – Topics in Databases Knowledge Discovery in Databases Additional Slides for Clustering II: Animation of the OPTICS Algorithm Dr. Jörg Sander."— Presentation transcript:

1 CMPUT 690 – Topics in Databases Knowledge Discovery in Databases Additional Slides for Clustering II: Animation of the OPTICS Algorithm Dr. Jörg Sander Department of Computing Science University of Alberta Dr. Jörg Sander, 2002

2 CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 2 A I B J K L R M P N C F D E G H S T U V Computing a Cluster Ordering - Example Example Database (2-dimensional, 20 points)  = 44, MinPts = 3 controlList: (A, ?) controlList:  ? reach-dist A

3 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 3 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V A controlList: (B,40) (I, 40)  ? reach-dist

4 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 4 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V AB controlList: (I, 40) (C, 40)  ? reach-dist

5 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 5 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABI controlList: (J, 20) (K, 20) (L, 31) (C, 40) (M, 40) (R, 43)  ? reach-dist

6 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 6 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJ controlList: (L, 19) (K, 20) (R, 21) (M, 30) (P, 31) (C, 40)  ? reach-dist

7 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 7 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJL controlList: (M, 18) (K, 18) (R, 20) (P, 21) (N, 35) (C, 40)  ? reach-dist

8 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 8 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLM controlList: (K, 18) (N, 19) (R, 20) (P, 21) (C, 40)  ? reach-dist

9 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 9 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMK controlList: (N, 19) (R, 20) (P, 21) (C, 40)  ? reach-dist

10 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 10 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKN controlList: (R, 20) (P, 21) (C, 40)  ? reach-dist

11 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 11 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNR controlList: (P, 21) (C, 40)  ? reach-dist

12 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 12 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRP controlList: (C, 40)  ? reach-dist

13 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 13 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPC controlList: (D, 22) (F, 22) (E, 30) (G, 35)  ? reach-dist

14 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 14 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCD controlList: (F, 22) (E, 22) (G, 32)  ? reach-dist

15 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 15 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDF controlList: (G, 17) (E, 22)  ? reach-dist

16 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 16 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFG controlList: (E, 15) (H, 43)  ? reach-dist

17 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 17 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGE controlList: (H, 43)  ? reach-dist

18 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 18 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGEH H.core-dist = ? controlList: controlList: (T, ?)  ? reach-dist

19 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 19 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGEHT controlList: (S, 18) (V, 18) (U, 25)  ? reach-dist

20 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 20 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGEHTS controlList: (V, 18) (U, 20)  ? reach-dist

21 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 21 Computing a Cluster Ordering - Example ABIJLMKNRPCDFGEHTSV A I B J K L R M P N C F D E G H S T U V controlList: (U, 19)  ? reach-dist

22 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 22 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGEHTSVU controlList: -  ? reach-dist

23 Dr. Jörg Sander, 2002CMPUT 690 – Topics in Databases: KDDUniversity of Alberta 23 Computing a Cluster Ordering - Example A I B J K L R M P N C F D E G H S T U V ABIJLMKNRPCDFGEHTSVU controlList: -  ? reach-dist


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