New York University K Means and Clustering Programming Worksheet
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MATH 456
athematical Modeling
Assignment #9: Clustering
Due Date: December 7, 2022, 11:59 PM
The goal of this HW is to cluster two typical synthetic data sets (double moons and double
circles) using K-means and spectral clustering. First, you need to generate the following two data
sets using sklearn.
Here are some codes you may need for generating the data.
from sklearn import datasets
x 1, y 2 = datasets.make moons(200, noise=0.10)
x 1, y 2 = datasets.make circles(200, noise=0.10)
Goal: Run the K-means and spectral clustering algorithm to this model and discuss your
findings on the clusering results.
You need to implement K-means and spectral clustering algorithms using either Python or Matlab. If you choose the later, you could generate the data using sklearn and then implement the clustering algorithms using Matlab. You need
to document your results in Word/PDF/Markdown/Jupyter Notebook. Upload the
document along with the codes.
Purchase answer to see full
attachment
athematical Modeling
Assignment #9: Clustering
Due Date: December 7, 2022, 11:59 PM
The goal of this HW is to cluster two typical synthetic data sets (double moons and double
circles) using K-means and spectral clustering. First, you need to generate the following two data
sets using sklearn.
Here are some codes you may need for generating the data.
from sklearn import datasets
x 1, y 2 = datasets.make moons(200, noise=0.10)
x 1, y 2 = datasets.make circles(200, noise=0.10)
Goal: Run the K-means and spectral clustering algorithm to this model and discuss your
findings on the clusering results.
You need to implement K-means and spectral clustering algorithms using either Python or Matlab. If you choose the later, you could generate the data using sklearn and then implement the clustering algorithms using Matlab. You need
to document your results in Word/PDF/Markdown/Jupyter Notebook. Upload the
document along with the codes.
Purchase answer to see full
attachment
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