k-Shape: Efficient and Accurate Clustering of Time Series解讀
k-Shape: Efficient and Accurate Clustering of Time Series John Paparrizos Luis Gravano Columbia University ACM SIGMOD 2015 主要貢獻 提出一種新的對尺度和漂移具有不變性的距離度量 提出一種新的計算聚類中心的方法 提出一種通用性強的時間序列聚類算法——k-shape算法 通過實驗
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相關文章
- 1. EAST解讀 —— An Efficient and Accurate Scene Text Detector
- 2. [論文泛讀] Accurate and efficient stochastic reliability analysis of composite services using their comp...
- 3. 文獻閱讀 - Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping
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