elasticsearch aggregation example

first take a random value that can fall in sum (d (x)), and then use random-= d (x) until its Repeat steps (2) and (3) until all the K seed points are selected.The K-means algorithm is performed.Algorithm application ExampleBulk image data, data is implemented in a time-logged C # code snippet:"'Calculation methodpublic class K_mean{Public list List {get; set;} public double Average { get { return List.Average(); } } public double Center { get; set; } public double Change {

Back in the evening, the classmate said the interview encountered a SQL interview topic, did a bit of their own, summary summary.The topics are as follows:　　The following is a product data sheet (Product ID, color col, num), each of which is available in one or two colors.　　Ask for the difference in the number of colors for each product (for the total number of reserved products with only one color)　　　　　　　　The solution is as follows:1. Find out the number of colors for each product first　　This