# This paper is different as a result of regression of

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This paper is different as a result of regression of modules carried out in the study of clusteing models that interface covid-19 mechanics and human portability by optimal transport in Italy. The cognitive matrix in portability and optimal transportation in Italy is assessed as detailed in the literature review in relation to experimental setting apprehension. 6. MATERIAL Our work has conducted on two machines Toshiba Laptop 15 - 15.9 Inch 1 TB,8 GB RAM ,with windows10 , and MacBook Air2017 with 8GB RAM with 1,8 GHz Dual-Core Intel Core i5. We worked on PyCharm community edition 2020.2.4. It is an interactive development platform
9 used in computer programming, in particular in Python language programming. 7. DATASETS In our project we are used 4 datasets: We are used a dataset of 84 prominent cities in Italy. This data contains:city,lat"Meaning latitude",lng "Meaning longitude",country,iso2 it is similar to code ,admin_name,capital,population,population_proper. The number of attribute in the dataset reached 85 records. The other dataset are the mobility’s. They contain: p1, p2 and the dates in which this movement was observed, p1 means point 1 and p2 means point 1, for example if we assume that p1 and p2 have a mobility on 18-1-2020 The transfer within the same city from 1-1 is estimated at 0.9267 and so for the dates available in the dataset. This data included the collection of mobility data from January 18-1-2020 to 6-26-2020. It contained transfers from the same city or from one city to another.The number of attribute in the data reached 5,139 mobility’s. Also We are used a statistical dataset from a covid-19 website related to Italy.For the dataset file, this file was not available in csv format, but the statistics it was are in the form of tables, so we made a processing in the form of a file with the extension csv to make it easier for us to use it. This data contained: City name Its status, i.e., is it a region or a town, etc., the number of cases registered in the date. The number of attribute in the dataset reached 130 records. Therefore the last dataset was a dataset for all continents. But we only took from Italy. To work on it. The data set consists of : iso_code,continent,location,date,total_cases,new_cases,new_cases_smoothed,total_deaths
10 ,new_deaths,new_deaths. The number of attribute in the dataset reached 129 records. Below are summary tables for all datasets. Table 1 displays a summary of the data set.
11 8. METHODOLOGEY The steps in the overall workflow of our framework are listed below and outlined in the following subsections of this section. 1. Input Mobility shall be defined by the letter (M) and the new registered case shall be expressed by the letter (N) and shall be reflected over a duration defined by the letter (t). 2. The analysIS For each city in Italy, we calculate the mobility in it, we already have the cases and certain period of time..