Data Science for Non-Programmers/

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K-Means on Two-Dimensional Data

K-Means on Two-Dimensional Data

This lesson will focus on K-Means on two-dimensional data in Python.

We'll cover the following...

K-means in Python

We do not need to code the above algorithm because it is available in sklearn.cluster. We will be clustering on a dummy dataset first. The dummy dataset has three columns, feature_1, feature_2, and label. The dataset has 4 classes, which mean each row of the data set can have a label from 0, 1, 2, or 3. First, we will plot a scatter plot of the two features.

dummy.csv
Python 3.5
import pandas as pd 
import matplotlib.pyplot as plt 
df = pd.read_csv('dummy.csv')
print(df.head())
X = df.drop(columns = ['label'])
Y = df['label']
plt.scatter(x= X['feature_1'],y = X['feature_2'])

We drop the label column in line 6 because in reality, we do ...