jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering

版本 1.0.0.0 (5.9 KB) 作者: Joseph Santarcangelo
Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering
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更新时间 2016/1/11
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This is a matlab implementation of Dynamic Time-Alignment (DTA) K-Means Kernel Clustering For Time Sequence Clustering. The code is similar to what I used in my paper [1]. The code first calculates the DTA Kernel matrix, then performs clustering on time series of different lengths.
Read me @:https://github.com/jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering/issues/1

引用格式

Joseph Santarcangelo (2024). jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering (https://github.com/jsantarc/Dynamic-Time-Alignment-K-Means-Kernel-Clustering-For-Time-Sequence-Clustering), GitHub. 检索来源 .

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致谢

参考作品: Dynamic Time Warping (DTW)

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