![]() ![]() Current: 3 Video Surveillance: Ann, gun 4 Video Surveillance: Ann, no gun 5 Video Surveillance: Eamonn, gun 6 Video Surveillance: Eamonn, no gun 7 Power Demand: Jan-March (Italian) 8 Power Demand: April-June (Italian) 9 Great Lakes (Erie) 10 Great Lakes (Ontario) 11 Buoy Sensor: North Salinity 12 Buoy Sensor East Salinity 13 Koski ECG: slow 1 14 Koski ECG: slow 2 15 Koski ECG: fast 1 16 Koski ECG: fast 2 17 Exchange Rate: Swiss Franc 18 Exchange Rate: German Mark 19 Furnace: heating input 20 Furnace: cooling input 21 Reel 2: angular speed 22 Reel 2: tension 23 Balloon 1 24 Balloon 2 (lagged) 25 Evaporator: feed flow 26 Evaporator: vapor flow 27 Shuttle Inertia Sensor X 28 Shuttle Inertia Sensor X 29 Shuttle Inertia Sensor Z 30 Shuttle Inertia Sensor Zĭataset 1: Heterogeneous Data, Part 2 24 23 25 20 26 19 16 If we do the clustering with only level 2 information, the clustering is very slightly worse, but still quite robust considering that we are only using 1. The red lines in the dendrogram draw attention to objectively incorrect subtrees 16 Parameters Level 3 N = 100 n = 10 15 14 13 12 11 10 9 Data Key 8 7 22 21 6 5 4 3 30 29 28 27 18 17 2 1 Data is in ASCII file “time_series_bitmap_1” 1 Motor. Dataset 1: Heterogeneous Data, Part 1 24 23 25 26 20 19 The clustering achieved on 15 pairs of samples from 15 diverse datasets. ![]()
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