- <init>
- MSE
Returns average of squared errors for current model.
- initializeModel
Initializes the model. Assumes K >= 1, values.length >= 1, and values.length =
weights.length.
- logDensity
Computes log of density for given value.
- logJointDensities
Joint densities per cluster.
- logNormalDens
Density function of normal distribution.
- loglikelihood
Computes loglikelihood of current model.
- nearestMean
Returns the index of the nearest mean. Assumes m_Means has at least one element
(i.e. m_K >= 1).
- predictIntervals
Returns the interval for the given confidence value.
- predictQuantile
Returns the quantile for the given percentage.
- smallestDistance
Returns smallest distance to given elements. Assumes m_Means has at least one
element (i.e. m_K >= 1
- toString
Returns string describing the estimator.