Clustering of Holstein Friesians Using K-Means Method
Öz
By cluster analysis units or variables can be grouped according to
similarities or differences in terms of their properties. In this study total
of 4496 Holstein Friesian cows were grouped two, three and four clusters
according to their herd, age at first calving, lactation length and 305 day
milk yields. Nonhierarchical k-means clustering technique is used for this
purpose. Related traits were found statically significant for clustering of
Holsteins (P<0.01). Holsteins were divided into three clusters and these
clusters were found statistically different (P<0.01). The correct classification
percentage of cows was 98%. In the third cluster Holsteins which have the highest
milk yield, the lowest age of first calving and 305-day lactation period were
proposed for breeding programs.
Anahtar Kelimeler
Holstein,milk yield,cluster,K-means classification nonhierarchical
Kaynakça
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