- All Implemented Interfaces:
public class H1DAextends AdaptiveHistogramAdaptive histogram in one dimension (1D). This class implements a histogram that adapts to an unknown data distribution. It keeps a more or less constant resolution throughout the data range by increasing the resolution where the data is more dense. For example, if the data has such such a distribution that most of the values lie in the 0-5 range and only a few are in the 5-10 range, the histogram would adapt and assign more counting buckets to the 0-5 range and less to the 5-10 range. This implementation provides a method to obtain the accumulative density function for a given data point, and a method to obtain the data point that splits the data set at a given percentile.
- See Also:
- Serialized Form
Constructors Constructor and Description
H1DA()Create addaptive histogram.
All Methods Instance Methods Concrete Methods Modifier and Type Method and Description
fill(float value)Adds a data point to the histogram.
Methods inherited from class com.flaptor.hist4j.AdaptiveHistogram
addValue, getAccumCount, getCount, getValueForPercentile, normalize, reset, show, toTable
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