Michael J. Radwin

Tales of a software engineer who keeps kosher and hates the web.

wine results (Nearest-Neighbor Machine Learning Bakeoff)

Wine Recognition Data from Forina, M. et al at the Institute of Pharmaceutical and Food Analysis and Technologies. Each record represents results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wine.

nearest-neighbor

unweighted data

results for nearest-neighbor on wine.

 

normalized data

results for nearest-neighbor on wine-norm.

 

k-nearest-neighbor

unweighted data

results for k-nearest-neighbor on wine.

 

normalized data

results for k-nearest-neighbor on wine-norm.

 

agglomerative-nearest-neighbor

unweighted data

results for agglomerative-nearest-neighbor on wine.

 

normalized data

results for agglomerative-nearest-neighbor on wine-norm.