K-Medoids and the Weather Data

As you can see, there was no such clear peek as in the example. That means that both 3 and 4 clusters may be a good choice!

Let's see what will be the result of using the K-Medoids algorithm for the weather data we used in the previous section. Let's start with defining the optimal number of clusters.

Tâche

Swipe to start coding

Given cities' average temperatures dataset data. The numerical columns are 3 - 14. Table

Your tasks are:

Using for loop iterate over n_cl. Within the loop:

Create KMedoids model with j clusters named model.
Fit the 2-15 columns of data to the model. Watch out that indices in Python start from 0.
Add silhouette score value to the silhouettes list. Remember to pass two parameters: the data used for fitting (the same 3-15 columns) and predicted by model labels.

Visualize the results using lineplot of sns. Pass n_cl as x parameter and silhouettes as y. Do not forget to apply the .show() method to display the plot.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 2. Chapitre 4

K-Medoids and the Weather Data

As you can see, there was no such clear peek as in the example. That means that both 3 and 4 clusters may be a good choice!

Let's see what will be the result of using the K-Medoids algorithm for the weather data we used in the previous section. Let's start with defining the optimal number of clusters.

Tâche

Swipe to start coding

Given cities' average temperatures dataset data. The numerical columns are 3 - 14. Table

Your tasks are:

Using for loop iterate over n_cl. Within the loop:

Create KMedoids model with j clusters named model.
Fit the 2-15 columns of data to the model. Watch out that indices in Python start from 0.
Add silhouette score value to the silhouettes list. Remember to pass two parameters: the data used for fitting (the same 3-15 columns) and predicted by model labels.

Visualize the results using lineplot of sns. Pass n_cl as x parameter and silhouettes as y. Do not forget to apply the .show() method to display the plot.

Solution

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous

Tout était clair ?

Merci pour vos commentaires !

Section 2. Chapitre 4

Passez à un bureau pour une pratique réelleContinuez d'où vous êtes en utilisant l'une des options ci-dessous