| Package | Description |
|---|---|
| de.lmu.ifi.dbs.elki.algorithm.outlier |
Outlier detection algorithms
|
| de.lmu.ifi.dbs.elki.algorithm.statistics |
Statistical analysis algorithms
The algorithms in this package perform statistical analysis of the data
(e.g. compute distributions, distance distributions etc.)
|
| de.lmu.ifi.dbs.elki.data |
Basic classes for different data types, database object types and label types.
|
| de.lmu.ifi.dbs.elki.datasource.filter |
Data filtering, in particular for normalization and projection.
|
| de.lmu.ifi.dbs.elki.math |
Mathematical operations and utilities used throughout the framework.
|
| de.lmu.ifi.dbs.elki.utilities.scaling |
Scaling functions: linear, logarithmic, gamma, clipping, ...
|
| de.lmu.ifi.dbs.elki.visualization.projections |
Visualization projections
|
| Class and Description |
|---|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|
| Class and Description |
|---|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|
| Class and Description |
|---|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|
| Class and Description |
|---|
| MeanVariance
Do some simple statistics (mean, variance) using a numerically stable online
algorithm.
|
| Class and Description |
|---|
| AggregatingHistogram
Class for the typical case of an aggregating (e.g. counting, averaging)
Histogram.
|
| AggregatingHistogram.Adapter
Adapter class for an AggregatingHistogram
|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|
| FlexiHistogram
Histogram with flexible size, guaranteed to be in [bin, 2*bin[
|
| FlexiHistogram.Adapter
Adapter interface to specify bin creation, data caching and combination.
|
| Mean
Compute the mean using a numerically stable online algorithm.
|
| MeanVariance
Do some simple statistics (mean, variance) using a numerically stable online
algorithm.
|
| MinMax
Class to find the minimum and maximum double values in data.
|
| ReplacingHistogram
Class to manage a simple Histogram.
|
| ReplacingHistogram.Adapter
Interface to plug in a data type T.
|
| Class and Description |
|---|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|
| Class and Description |
|---|
| DoubleMinMax
Class to find the minimum and maximum double values in data.
|