H2OKMeans¶
H2O KMeans
Input¶
It takes in a DataFrame as input
Type¶
ml-estimator
Class¶
fire.nodes.h2o.NodeH2OKMeans
Fields¶
Details¶
K-Means falls in the general category of clustering algorithms. Clustering is a form of unsupervised learning that tries to find structures in the data without using any labels or target values. Clustering partitions a set of observations into separate groupings such that an observation in a given group is more similar to another observation in the same group than to another observation in a different group.
More details are available at : http://docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/k-means.html