The benefits of the proposed measure are illustrated on the problem of pattern recognition and classification within k-NN algorithm. Finally, we show that the proposed measure is appropriate for IF hierarchical
Recently, metric learning and similarity learning have attracted a large amount of interest. Many models and optimization algorithms have been proposed. However, there is relatively little work on the generalization analysis of such methods. In this paper, we derive novel generalization bounds of metri...
In databases, this issue is typically solved with a deduplication step. We show that a simple approach that exposes the redundancy to the learning algorithm brings significant gains. We study a generalization of one-hot encoding, similarity encoding, that builds feature vectors from similarities ...
Cosine similarity proved useful in many different areas, such as in machine learning applications, natural language processing, and information retrieval. After reading this article, you will know precisely what cosine similarity is, how to run it with Python using the scikit-learn library (also kno...
pythonalgorithmstringsimilaritydistance-measure UpdatedNov 12, 2022 Python J535D165/recordlinkage Sponsor Star1k Code Issues Pull requests Discussions A powerful and modular toolkit for record linkage and duplicate detection in Python pythonmachine-learningprivacydeduperecord-linkagepython-libraryentity-resolutio...
fuzzy-matchinglevenshteinjaro-winklerlevenshtein-distancecosine-similarityngramsoundexjaccard-similaritylongest-common-subsequencehacktoberfestjaccardjaro-winkler-distancestring-similarityhamming-distancejarojaro-distancecosine-similarity-scoressorensen-dice-distancedice-coefficientsoundex-algorithm ...
The classification and recognition algorithm proposed in this study is a key figure analysis tool that starts from network science methods, integrates multiple methods such as supernetwork and machine learning, and combines the structural features of public opinion networks with the interaction of public...
Ng, A.Y., Jordan, M.I. & Weiss, Y. On spectral clustering: analysis and an algorithm.Adv. Neural Inf. Process. Syst.2, 849–856 (2002). Google Scholar Wei, Y.C. & Cheng, C.K. Towards efficient hierarchical designs by ratio cut partitioning. inProc. Int. Conf. Computer-Aided De...
In addition, we compare its performance against that of the classical Synthetic Minority Over-sampling Technique (SMOTE) using network traffic data. We also compare the performance of CB-SBIT against the performance of the open source transfer learning algorithm TransferBoost using text data. Our ...
pythonmachine-learningsklearnmlpandasrecommendation-systemcosinesimilarity UpdatedJul 7, 2020 Jupyter Notebook A program that get recommendations according to the target user and movies. -made in 2023 javadata-structuresrecommendation-systemheapheapsort-algorithmheap-sortcosinesimilarity ...