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k-Nearest Neighbor Classification II
| Content Provider | Scilit |
|---|---|
| Author | Akhtar, M. Fareed |
| Copyright Year | 2016 |
| Description | The use case of this chapter applies the k-NN operator on the Glass Identification dataset (overview of the k-NN algorithm has been discussed in the previous chapter). The purpose of this use case is to predict the type of the glass depending on its components. The operators explained in this chapter are: Read CSV, PCA, Split Data, and Performance (Classification). Book Name: RapidMiner |
| Related Links | https://content.taylorfrancis.com/books/download?dac=C2013-0-18019-1&isbn=9780429171093&doi=10.1201/b16023-6&format=pdf |
| DOI | 10.1201/b16023-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2016-04-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Rapidminer Artificial Intelligence Identification Classification Neighbor Nearest |
| Content Type | Text |
| Resource Type | Chapter |