Javascript Snippet to Calculate Data Clusters = Fun Project!

This project is to create a simple Javascript snippet that identifies data clusters and their relative strengths from a data set file. Have some fun with this project :) Definition of Data Cluster: Data clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). From [login to view URL] Attached is a data set in a text file (Data Set 1 - [login to view URL]) that contains 100 rows of 4 properties. The data set was created by multiple users clicking areas a computer screen over a period of 100 seconds. The 4 properties for each data point within the data set are: 1. dataTimeStart - The time in seconds when the user clicked the screen (value range = 0.00-100.00, in seconds) 2. dataX - The X coordinate of user input (value range = 0-100, the % of X screen size) 3. dataY - The Y coordinate of user input (value range = 0-100 , the % of Y screen size ) 4. dataDuration - The length of time (in seconds) the user clicked the screen (value range = 0.00-100.00, in seconds) Also attached is an example graphical representation (Data Set Graph Example - [login to view URL]) of the data set (not the actual data points). PROJECT: We need you to create a Javascript snippet (a short section of code) that analyzes the data set and finds where the data point values cluster together. The output of the snippet should be a text file that contains the data clusters, each with 6 properties: 1. clusterTimeStart - The time (in seconds) when the data cluster starts (value range = 0.00-100.00) 2. clusterX - The X coordinate of data cluster center (value range = 0-100) 3. clusterY - The Y coordinate of data cluster center (value range = 0-100) 4. clusterDuration - The length of time in seconds the data cluster is valid (value range = 0.00-100.00) 5. clusterQuantity - The number of data points contained in this cluster (value range = 0-100% of original data set) 6. clusterSize - The relative distance between data cluster center (x,y) and furthest data point in the cluster. For example, if a cluster has a data point that is a long distance from the cluster center, the relative value would be high (value range = 0-100) Thanks for your interest in this project!