Dendrogram visualization in SciPy - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to import the function needed to create a dendrogram.

SciPy

from scipy.cluster.hierarchy import [1]

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Adendrogram

Blinkage

Cfcluster

Dcophenet

Attempts:

3 left

💡 Hint

Common Mistakes

Importing 'linkage' instead of 'dendrogram'.

Trying to import from the wrong module.

The dendrogram function is used to visualize hierarchical clustering results as a tree diagram.

2fill in blank

medium

Complete the code to perform hierarchical clustering on data using the linkage method.

SciPy

Z = linkage(data, method=[1])

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A'average'

B'complete'

C'single'

D'ward'

Attempts:

3 left

💡 Hint

Common Mistakes

Using 'single' which can produce chaining effect.

Using 'average' which is less common for dendrograms.

The 'ward' method minimizes the variance within clusters and is commonly used for dendrograms.

3fill in blank

hard

Fix the error in the code to plot the dendrogram correctly.

SciPy

plt.figure(figsize=(10, 5))
dendrogram([1])
plt.show()

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Adata

BZ

Clinkage

Ddendrogram

Attempts:

3 left

💡 Hint

Common Mistakes

Passing raw data instead of linkage matrix.

Passing the dendrogram function itself.

The dendrogram function requires the linkage matrix Z as input, not the original data.

4fill in blank

hard

Fill both blanks to create a dendrogram with labels and a color threshold.

SciPy

dendrogram([1], labels=[2], color_threshold=1.5)

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AZ

Blabels

Cdata

Dlinkage

Attempts:

3 left

💡 Hint

Common Mistakes

Passing raw data instead of linkage matrix.

Passing data instead of labels for the labels argument.

The first argument is the linkage matrix Z, and labels is the list of labels for the leaves.

5fill in blank

hard

Fill all three blanks to create and plot a dendrogram with orientation and truncate mode.

SciPy

plt.figure(figsize=(8, 6))
dendrogram([1], orientation=[2], truncate_mode=[3])
plt.show()

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AZ

B'top'

C'lastp'

D'right'

Attempts:

3 left

💡 Hint

Common Mistakes

Using wrong orientation like 'right' which changes the dendrogram direction.

Not using truncate_mode or using an invalid value.

The linkage matrix Z is plotted with orientation 'top' and truncate_mode 'lastp' to show the last p merged clusters.