K-Means Clusternig Example with Python and Scikit-learn

Unsupervised-Machine-Learning Flat Clustering

K-Means clusternig example with Python and Scikit-learn

Flat clustering

Clustering algorithms group a set of documents into subsets or clusters . The algorithms’ goal is to create clusters that are coherent internally, but clearly different from each other. In other words, documents within a cluster should be as similar as possible; and documents in one cluster should be as dissimilar as possible from documents in other clusters.

Hierarchical

Hierarchical clustering is where the machine is allowed to decide how many clusters to create based on its own algorithms.

İmages

img

Setup

After downloading the required modules, run the file. You can play on it as much as you want.

Resources

https://pythonprogramming.net/flat-clustering-machine-learning-python-scikit-learn/
https://nlp.stanford.edu/IR-book/html/htmledition/flat-clustering-1.html
https://nlp.stanford.edu/IR-book/pdf/16flat.pdf
https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.fcluster.html
https://scikit-learn.org/stable/modules/clustering.html

Who Do These Codes Belong To?

All of these Codes belong to Sentdex. Thanks Senddex.

Download Details:

Author: Peyxw
Download Link: Download The Source Code
Official Website: https://github.com/Peyxw/Unsupervised-Machine-Learning
License: MIT

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K-Means Clusternig Example with Python and Scikit-learn
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Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

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Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

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Introduction

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⌨️ (10:23) Drawing a Shape
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⌨️ (2:32:44) For Loops
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📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=rfscVS0vtbw&list=PLWKjhJtqVAblfum5WiQblKPwIbqYXkDoC&index=3

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K-Means Clusternig Example with Python and Scikit-learn

Unsupervised-Machine-Learning Flat Clustering

K-Means clusternig example with Python and Scikit-learn

Flat clustering

Clustering algorithms group a set of documents into subsets or clusters . The algorithms’ goal is to create clusters that are coherent internally, but clearly different from each other. In other words, documents within a cluster should be as similar as possible; and documents in one cluster should be as dissimilar as possible from documents in other clusters.

Hierarchical

Hierarchical clustering is where the machine is allowed to decide how many clusters to create based on its own algorithms.

İmages

img

Setup

After downloading the required modules, run the file. You can play on it as much as you want.

Resources

https://pythonprogramming.net/flat-clustering-machine-learning-python-scikit-learn/
https://nlp.stanford.edu/IR-book/html/htmledition/flat-clustering-1.html
https://nlp.stanford.edu/IR-book/pdf/16flat.pdf
https://docs.scipy.org/doc/scipy/reference/generated/scipy.cluster.hierarchy.fcluster.html
https://scikit-learn.org/stable/modules/clustering.html

Who Do These Codes Belong To?

All of these Codes belong to Sentdex. Thanks Senddex.

Download Details:

Author: Peyxw
Download Link: Download The Source Code
Official Website: https://github.com/Peyxw/Unsupervised-Machine-Learning
License: MIT

Shirts and Gifts for Your Friends & Loved ☞ https://bit.ly/36PHvXY

#python #scikit-learn #machine-learning