Зміст курсу
Cluster Analysis
Cluster Analysis
Perform Agglomerative Clustering
Swipe to show code editor
Your task is to use different linkage types and to look at the performance of agglomerative clustering on moons and circles datasets. You have to:
- Import
AgglomerativeClustering
class from sklearn.cluster module. - Add a parameter with the name
linkage
as an input of the function. - Add
.fit()
method of theagglomerative
object to train the model. - Use
'single'
,'complete'
, and'average'
as parameters of the function(parameters in the code have to be used in the same order).
Дякуємо за ваш відгук!
Perform Agglomerative Clustering
Swipe to show code editor
Your task is to use different linkage types and to look at the performance of agglomerative clustering on moons and circles datasets. You have to:
- Import
AgglomerativeClustering
class from sklearn.cluster module. - Add a parameter with the name
linkage
as an input of the function. - Add
.fit()
method of theagglomerative
object to train the model. - Use
'single'
,'complete'
, and'average'
as parameters of the function(parameters in the code have to be used in the same order).
Дякуємо за ваш відгук!
Perform Agglomerative Clustering
Swipe to show code editor
Your task is to use different linkage types and to look at the performance of agglomerative clustering on moons and circles datasets. You have to:
- Import
AgglomerativeClustering
class from sklearn.cluster module. - Add a parameter with the name
linkage
as an input of the function. - Add
.fit()
method of theagglomerative
object to train the model. - Use
'single'
,'complete'
, and'average'
as parameters of the function(parameters in the code have to be used in the same order).
Дякуємо за ваш відгук!
Swipe to show code editor
Your task is to use different linkage types and to look at the performance of agglomerative clustering on moons and circles datasets. You have to:
- Import
AgglomerativeClustering
class from sklearn.cluster module. - Add a parameter with the name
linkage
as an input of the function. - Add
.fit()
method of theagglomerative
object to train the model. - Use
'single'
,'complete'
, and'average'
as parameters of the function(parameters in the code have to be used in the same order).