This paper proposes TW-k-means, an automated two-level variable weighting clustering algorithm for multiview data, which can simultaneously compute weights for views and individual variables. In this algorithm, a view weight is assigned to each view to identify the compactness of the view and a variable weight is also assigned to each variable in the view to identify the importance of the variable. Both view weights and variable weights are used in the distance function to determine the clusters

C语言简介

cadence的门级网表仿真文件

TAPS: Software Defined Task-level Deadline-aware Flow scheduling in Data Centers

Semantic Similarity Analysis between High-Level Model Description Text and Low-Level Implementation Text for Network Survivability

Preparation and characterization of a liquid level sensor based on macro-bending coupling of fibers are demonstrated in this Letter. The sensitive component can be obtained through a twisting and twining structure of transparent cladding plastic fibers. The difference in light power originating from

A study for texture feature extraction of high-resolution satellite images based on a direction measure and gray level co-occurrence matrix fusion algorithm

CFA 2020 - Level 1 SchweserNotes Book 5.pdf

將CFA LEVEL 1 至LEVEL 2 同內容的組合在一起, 加了標籤

將CFA LEVEL 1 至LEVEL 2 同內容的組合在一起, 加了標籤