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.
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 ?
exactly what i was looking for
Good you found this! Do remember to subscribe to my channel for more like this 😄
Another great video from you. Thank you
i was looking for this. since very long
can you make a video about divisive clustering and finding divisive coefficient
Hi, this video is awesome, I have a question: How to measure the accuracy for Hierarchical Clustering in python?
Hi, good idea not to edit the typo part of the video. It serves to illustrate what often happens in real life coding... ;)
Nice job!
What if had categorical variable?
Hi, this video is awesome, it really helps me understand the Hierarchical.
@kindson the tech pro please share the video on how to find the centroids in hierarchial clustering
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
Keep it up, very informative and clear explanations.
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?
Very good amazing video
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 ?
Great video.
Good job. Could you perform Space-Time Hierarchical Clustering in python. This is new algorithm and we want to learn how its code?
nice job champ
Thanks
so what is difference b/W K-means method and aglomirative method
How optimal number of clusters can be find from dendrogram?
do y have a link with the code ?
what if you have multidimensional data example 40 or 50.....how to apply clustering for that
this is my question
Amazing
Can I get the code link??
Sure! Please find the codes here in my github repo github.com/KindsonTheGenius/hierarchical-clustering-python
that is not from scratch, or step by step cause is using dendogram as a special function
Bonsoir
Agglomerative is not defined