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Algorithm-WorkShop-In_Python-ITI_Clustering_Project

DBSCAN vs Merging Mean-Shift with K-Means (Mean shift and K-Means algorithm are two similar clustering algorithms; both of them extract information from data with some kind of mean vector operations. compare these two algorithms and show a way, with VisuMap software, to combine them to get much better clustering tools.)

K-Means , Mean-Shift and DBSCAN from Scratch

Team Members GR3 ITI:

  1- Abdullah Abdelhakeem
  2- Mohamed Mostafa
  3- ElShaimaa Hassan
  4- Mohamed Sebaie
  5- Osama Ahmed
  6- Lamiaa Omar

Date:

    - 13 July 2021

Version:

    - 0.0.1

About

    - Clustering
      - K-Means Algorithm
      - Mean Shift Algorithm
      - Merge Between K-Mean and  Mean Shift
      - DBSCAN Algorithm

Image Projects

K-Means And Mean-Shift

      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN

DBSCAN

      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN
      DBSCAN_K-MEAN

Compare Betweem Merge(K-Means And Mean-Shift) vs DBSCAN Algorithms

      DBSCAN_K-MEAN

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