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Visualization-Data reduction and Dimension reduction

Data Reduction using random sampling and Stratified sampling using k means clustering. Dimension reduction using PCA. PCA, MDS,ISOMap Implementation of a data set using Sklearn library python. Visualized the dimension reduced data using scatter plot in d3.js.

Python Libraries used

  1. Pandas
  2. Scikit
  3. Flask
  4. Numpy
  5. scipy
  6. matplotlib

Javascript:

  1. D3.js
  2. Jquery

Steps to start the application

  1. Install the above listed python libraries.

  2. Run the command: python app.py Application will hosted in local port 5000

  3. Open the link : http://localhost:5000/

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Data Reduction using random sampling and Stratified sampling using k means clustering. Dimension reduction using PCA. PCA, MDS,ISOMap Implementation of a data set using Sklearn library python. Visualized the dimension reduced data using scatter plot in d3.js.

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