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Can we cluster time-series data?
Main goal of Time Series clustering is to partition Time Series data into groups based on similarity or distance, so that Time Series in the same cluster are similar.
How is spatial clustering different from regular clustering technique?
The major difference between spatial and ST clustering is the ‘time’ element, which is treated as either another dimension or an attribute. By space, it can be at least 2-dimensional (X,Y) or 3-dimensional (X,Y,Z) in which events or attributes are clustered.
When to use k-means clustering?
The K-means clustering algorithm is used to find groups which have not been explicitly labeled in the data. This can be used to confirm business assumptions about what types of groups exist or to identify unknown groups in complex data sets.
What is the purpose of temporal data clustering?
Temporal data clustering is to partition an unlabeled temporal data set into groups or clusters, where all the sequences grouped in the same cluster should be coherent or homogeneous.
How does a temporal data classification system work?
In temporal data classification, each data presented to the system are assumed to belong to one of finitely many classes or categories, which are predefined or trained on the given training sets, and these tasks aim to automatically determine the corresponding class or category for the given input data.
How are temporal data converted into statistical models?
In contrast, other approaches are to convert the raw temporal data into either a number of statistical models or a feature vector with lower dimensions firstly and then apply a conventional clustering algorithm to the representative models or extracted feature vectors. These methods are often called the model-based and feature-based approaches.
Which is true about the nature of temporal data?
Often the time-oriented nature of the data is what lends it value. Integers, decimal numbers, strings, Boolean values, and most other data that we put into a computer are discrete. Time and real numbers are is a continuum. In a continuum, a value is not always known exactly.
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