Question: Class Activity: Hierarchical clustering For the following dataset: Data Point Feature A 1 B 4 C 11 D 5 E 9 Perform the hierarchical clustering
Class Activity: Hierarchical clustering
For the following dataset:
Data Point | Feature |
A | 1 |
B | 4 |
C | 11 |
D | 5 |
E | 9 |
Perform the hierarchical clustering with single linkage.
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Class Activity: K-means clustering
For the following dataset:
Data Point | Feature |
A | 1 |
B | 4 |
C | 11 |
D | 5 |
E | 9 |
Perform the K-means clustering with K=2. Assume that the initial center of clusters (i.e. randomly selected points in the space) are at 8 and 12.
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Class Activity: KNN regression
We have the following dataset:
| X | Y |
| 1 | 3.2 |
| 0.5 | 1.8 |
| 0.25 | 1.7 |
| -1 | -0.8 |
| -0.5 | 0.2 |
| 1.5 | 3.8 |
Use KNN with K=2 to predict the value of Y in the following test dataset. Use the Euclidean distance.
| X | Y |
| -1.5 | -1.8 |
| 2 | 4.8 |
| 0.75 | 2.7 |
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Class Activity: Logistic Regression example
Using the following dataset, we want to design a logistic regression classifier:
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