[PDF][PDF] Clustering Technique Based Outlier Detection Method for Document Classification

D Jain, B Verma, RC Jain - International Journal of Computer …, 2013 - academia.edu
In this paper, we propose a clustering based techniques to capture outliers for document
classification and apply K-means clustering algorithm to divide the dataset into clusters. The …

Ocena klas w rozmytej klasyfikacji obiektów symbolicznych

M Machowska-Szewczyk - Prace Naukowe Uniwersytetu …, 2014 - ceeol.com
W artykule przedstawiono propozycję oceny wyników klasyfikacji rozmytej, zawartej w pracy
Machowskiej-Szewczyk [2013]. Zdefiniowano w tym celu wskaźniki ogólnej …

[PDF][PDF] Dissimilarity Based Feature Selection for Text Classification: A Cluster Based Approach

DS Guru, BS Harish, S Manjunath - 2011 - researchgate.net
In this paper, a simple and efficient symbolic text classification is presented. We propose a
new method of representing documents based on clustering of term frequency vectors. For …

[PDF][PDF] Recent advances in partitioning clustering algorithms for interval-valued data.

FAT de Carvalho - EGC, 2010 - egc.asso.fr
Recent Advances in Partitioning Clustering Algorithms for Interval-Valued Data Page 1
UNIVERSIDADE FEDERAL DE PERNAMBUCO cin.ufpe.br Recent Advances in Partitioning …

鎖状構造に基づく主成分分析の一般化

名児耶厚, 小野裕次郎, 市野学 - 電子情報通信学会論文誌 D, 2015 - search.ieice.org
量質混在型の複雑なデータ・テーブルを扱う研究分野である, いわゆるシンボリックデータ・
アナリシス (SDA) における主要な目的の一つとして, 既存の多変量解析法の一般化が挙げられる …

[引用][C] Automatic Document Classification (ADC) through Efficient Unsupervised Learning Method

D Jain, B Verma, RC Jain

[引用][C] Computer-aided detection and quantification of interstitial lung disease from computed tomography and chest radiography.

Y Arzhaeva - 2009 - Utrecht University