نتایج جستجو برای: Two-Step Clustering

تعداد نتایج: 2688892  

Journal: :IEEE Transactions on Power Systems 2013

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Data mining, also known as knowledge discovery in database, is the process to discover unknown knowledge from a large amount of data. Text mining is to apply data mining techniques to extract knowledge from unstructured text. Text clustering is one of important techniques of text mining, which is the unsupervised classification of similar documents into different groups. The most important step...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1389

this thesis is a study on insurance fraud in iran automobile insurance industry and explores the usage of expert linkage between un-supervised clustering and analytical hierarchy process(ahp), and renders the findings from applying these algorithms for automobile insurance claim fraud detection. the expert linkage determination objective function plan provides us with a way to determine whi...

بایسته تاشک, الهام , احمدی فرد, علیرضا, خسروی, حسین ,

This paper presented a two step method for offline handwritten Farsi word recognition. In first step, in order to improve the recognition accuracy and speed, an algorithm proposed for initial eliminating lexicon entries unlikely to match the input image. For lexicon reduction, the words of lexicon are clustered using ISOCLUS and Hierarchal clustering algorithm. Clustering is based on the featur...

Journal: :Shizen gengo shori 2022

近年,動詞の意味フレーム推定タスクでは,推定対象の動詞の文脈化単語埋め込みに基づき,動詞全体で一度にクラスタリングを行う手法がいくつか提案されている.しかし,このような手法には大きく 2 つの欠点が存在する.1 つは動詞の表層的な情報を過度に考慮するため,意味の似た異なる動詞の用例をまとめづらいこと,もう 1 つは同じ動詞の用例がその動詞自身が持つ意味の異なり数以上のクラスタに分割されることである.本論文では,これらの欠点を克服するために,マスクされた単語埋め込みと 段階クラスタリングを用いた動詞の意味フレーム推定手法を提案する.FrameNet を用いた実験を通し,マスクされた単語埋め込みを活用することが動詞の表層的な情報に強く依存したクラスタの構築を抑制し,また,2 段階のクラスタリングを行うことで各動詞の用例が属するクラスタの異なり数を適正化できることを示す.

Journal: :International Journal of Computer Applications 2017

Journal: :Contributions To Plasma Physics 2023

A novel combination of two widely-used clustering algorithms is proposed here for the detection and reduction high data density regions. The density-based spatial applications with noise (DBSCAN) algorithm used regions k-means reduction. iterates while successively decrementing DBSCAN search radius, allowing an adaptive factor based on effective density. demonstrated a physics simulation applic...

UCTTP is a NP-hard problem, which must be performed for each semester frequently. The major technique in the presented approach would be analyzing data to resolve uncertainties of lecturers’ preferences and constraints within a department in order to obtain a ranking for each lecturer based on their requirements within a department where it is attempted to increase their satisfaction and develo...

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