would be created, applied thousands of years befored, I don't know, !judges!
This algorithm Introduced by Mr. Fix and Hodges, 1951 ..
Simple sorting method that should be one of the first, ranking possibilities When there is little or no prior knowledge about the distribution of the data. K-neighbor nearest classification was developed from the need to perform discriminant analysis When uncertain or difficult to determine reliable parametric estimates of densified probability, in other words when the data are evenly distributed it becomes necessary to use a measure that seems somewhat more Intuitive way to sort data. This measure used also in that time, Used in its moment:. In a United States Air Force School of Aviation Medicine, he recently relied on this system to create groupings by facilitating a system of predictions by Mr. Nate Silver: Who predicted American elections and Superball, this man is a writer of the Book Noise and signal.
The Bibilica history.
Taking my personal reading, I found this finding that I found interesting to share since it has a deep reflection in the following contexts:
- Spiritual.
- Statistic and data (birth I do not know but application possibly if of Knn (nearest neighbor)
- Physics, given that physics and statistics share certain behaviors therefore complement each other.
It was possibly used or quoted in the book of Deuteronomy 21 (1-9) thousands of years ago, to determine, the culprit of a murder, of whose author unknown is used this pattern, since the ordinance given by Mr. Jehovah , To his people is that if he had found someone dead, and no one knew who killed him, the judges and the elders will measure the distance to the cities that are around the dead, and that city cleanse their guilt and protest for it with a sacrifice.
So far is the ordinance of the Jewish-Christian God, which marks the use of a pattern used by the KNN algorithm which is based on the following
Three Euclidean tools:
Euclidean distance provides the distance from each cell in the raster to the nearest origin.
Example of use: What is the distance to the nearest population? (Measurement of the nearest town)
Euclidean address provides the address from each cell to the nearest origin.
Example of use: What is the address to the nearest population? (It is derived from the previous one)
Euclidean assignment identifies the cells to be assigned to an origin based on the closest proximity.
Example of use: Which is the nearest population? (Guilty of the murder)
Conclusions:
The knowledge of this data algorithm can help us to understand the behavior of certain processes that after being probabilistically distributed it is possible to have data that have to be explained and grouped.
Its history contributes that already in the past was possibly considered and that books that although they are of religious origin have contributed a knowledge of the world also.
Jesus Hurtado
Sap Consultant (trm certified)
Microsoft certfied professional
Webgraphy
Http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/understanding-euclidean-distance-analysis.htm
Http://www.scholarpedia.org/article/K-nearest_neighbor
Https://es.wikipedia.org/wiki/K-vecinos_m%C3%A1s_cercans
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