Feature Extraction and clustering, Computer Engineering

Feature Extraction and clustering, Computer Engineering

Assignment Help:

Hi,

I have a CSV file that has numbers data set. The data set contains images of handwritten digits. Recognizing handwritten digits is already a mature technology By using R code or python.

The task:
1. Extract features "three extraction methods"

2. Cluster the images into homogeneous groups. These groups do not necessarily have to be groups of the same digit, but can also group the data by the way a digit is written. For each digit you have 28x28 pixels with 256 gray values (8 bit). The data and some code to get you started can be found on the course web site under data for projects. "three methods of clustering, such as k-means and hierarchical clustering".

Thank you,

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