Hey Kindson The Tech Pro, the model accuracy is really low, 0.255. # standardizing the data: import sklearn.metrics as sm from sklearn.preprocessing import StandardScaler x = StandardScaler().fit_transform(points) # note this also changes the way the dendrogram looks dendrogram = sch.dendrogram(sch.linkage(x, method='ward')) y_hc = hc.fit_predict(x) # checking for accuracy sm.accuracy_score(dataset[1], y_hc) # output: 0.33 When I standardize the data it goes up to 0.33 that's not much of an improvement. Any idea how to fix this?
hi kindson can you help me in making cluster for text documents ? how would i upload my own data for this purpose? and aply heirarchicle clustering plus its accuracy and relevance measurements ?
Hi, thank you for sharing this video. It was so helpful, but can you please also explain how to find and show the centroids of the cluster on the scatter plot.
Another great video from you. Thank you
exactly what i was looking for
Good you found this! Do remember to subscribe to my channel for more like this 😄
Hey Kindson The Tech Pro, the model accuracy is really low, 0.255.
# standardizing the data:
import sklearn.metrics as sm
from sklearn.preprocessing import StandardScaler
x = StandardScaler().fit_transform(points)
# note this also changes the way the dendrogram looks
dendrogram = sch.dendrogram(sch.linkage(x, method='ward'))
y_hc = hc.fit_predict(x)
# checking for accuracy
sm.accuracy_score(dataset[1], y_hc)
# output: 0.33
When I standardize the data it goes up to 0.33 that's not much of an improvement.
Any idea how to fix this?
i was looking for this. since very long
Hi, this video is awesome, I have a question: How to measure the accuracy for Hierarchical Clustering in python?
Hi, this video is awesome, it really helps me understand the Hierarchical.
Keep it up, very informative and clear explanations.
can you make a video about divisive clustering and finding divisive coefficient
Hi, good idea not to edit the typo part of the video. It serves to illustrate what often happens in real life coding... ;)
hi kindson can you help me in making cluster for text documents ? how would i upload my own data for this purpose? and aply heirarchicle clustering plus its accuracy and relevance measurements ?
Nice job!
What if had categorical variable?
Hi, thank you for sharing this video. It was so helpful, but can you please also explain how to find and show the centroids of the cluster on the scatter plot.
Yes, sure. Remember to subscribe to get notified.
@@KindsonTheTechPro thank you. I found how to do that
Hi, can you please share the solution of how to find the centroids in hierarchical clustering ? Thanks in advance
Very good amazing video
@kindson the tech pro please share the video on how to find the centroids in hierarchial clustering
so what is difference b/W K-means method and aglomirative method
Great video.
nice job champ
Thanks
How optimal number of clusters can be find from dendrogram?
what if you have multidimensional data example 40 or 50.....how to apply clustering for that
this is my question
do y have a link with the code ?
Can I get the code link??
Sure! Please find the codes here in my github repo github.com/KindsonTheGenius/hierarchical-clustering-python
Good job. Could you perform Space-Time Hierarchical Clustering in python. This is new algorithm and we want to learn how its code?
Amazing
that is not from scratch, or step by step cause is using dendogram as a special function
Agglomerative is not defined
Bonsoir