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Home > Data Skeptic > [MINI] The Elbow Method
Podcast: Data Skeptic
Episode:

[MINI] The Elbow Method
Category: Religion & Spirituality
Duration: 00:15:14
Publish Date: 2016-03-18 10:00:00
Description:

Certain data mining algorithms (including k-means clustering and k-nearest neighbors) require a user defined parameter k. A user of these algorithms is required to select this value, which raises the questions: what is the "best" value of k that one should select to solve their problem?

This mini-episode explores the appropriate value of k to use when trying to estimate the cost of a house in Los Angeles based on the closests sales in it's area.
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