add assignments

%% Cell type:markdown id:00b9a8d4 tags:

# Assignment 7.1

%% Cell type:markdown id:c239dff3 tags:

## DBSCAN

%% Cell type:code id:2e1e8bbc tags:

``` python

###Add your imports here####

import pandas as pd

df = pd.read_csv("A_7_1_dbscan_data.csv")

x = df.to_numpy()

####Add your code here####

####End of your code####

```

%% Cell type:markdown id:10d24df4 tags:

## KMEANS

%% Cell type:code id:1e43bcfb tags:

``` python

###Add your imports here####

import csv

import numpy as np

def read_csv():

    x = []

    y = []

    with open("A_7_1_k_means_data.csv", newline="") as file:

        reader = csv.reader(file, delimiter=",")

        for row in reader:

            x.append([float(row[i]) for i in range(2)])

            y.append(int(row[2]))

    x = np.array(x)

    y = np.array(y)

    return x, y

x, y = read_csv()

####Add your code here####

####End of your code####

```

%% Cell type:markdown id:c30abbce tags:

## PCA

%% Cell type:code id:fb37c99c tags:

``` python

###Add your imports here####

import csv

import matplotlib.pyplot as plt

import numpy as np

from matplotlib.colors import ListedColormap

def visualize(x, y):

    fig, ax = plt.subplots(1, 1)

    colours = ListedColormap(["red", "blue", "green", "black", "teal", "orange"])

    scatter = ax.scatter(x[:, 0], x[:, 1], s=3, c=y, cmap=colours)

    ax.legend(scatter.legend_elements()[0], ["0", "1", "2", "3", "4", "5"])

    plt.show()

def read_csv():

    x = []

    y = []

    with open("A_7_1_pca_data.csv", newline="") as file:

        reader = csv.reader(file, delimiter=",")

        for row in reader:

            x.append([float(row[i]) for i in range(4)])

            y.append(int(row[4]))

    x = np.array(x)

    y = np.array(y)

    return x, y

x, y = read_csv()

####Add your code here####

####End of your code####

```

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