Improved Hierarchical Clustering Using Time Series Data

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Provided by: International Journal of Emerging Technology and Advanced Engineering (IJETAE)
Topic: Data Management
Format: PDF
Mining time series data has a remarkable development of interest in today's world. This paper presents and evaluates an incremental clustering structure for time series data stream. The new algorithm is called Improved Hierarchical Clustering Algorithm (IHCA) is developed and applied with ECG data set. This system continuously constructs a tree structure of hierarchy that progress with data set. Two kinds of operations need to grow the hierarchical clustering algorithm. The operations are split and merge (re-aggregate). According to the diameter of the cluster the specific operation is decided. The split operation is based on dissimilarity measure between time series data points.
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