Repository for the fourth homework of group # 25 composed of Alessio Sampieri, Salwa Afrah and Gamza Bakhishaliyeva.
a Markdown file that explains the content of our repository.
The repository includes the following files:
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main.ipynb :
A Jupyter notebook which provides an overview of every single step of which the process to implement the code has consisted in.
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hashing_lib.py`:
A Python file which contains the code about hashing and bloom filter and finding the true false positives.
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sorting_lib.py:
A Python file which has all the functions needed for alphabetical sorting and analysing empirical running time.
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clustring_lib.py:
A Python file containing the code needed to implement K-means on given data.
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theoretical_lib.py:
A Python file with all are needed to check the wrong K-means.