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A Text Classification Algorithm Based on PCA

A Text Classification Algorithm Based on PCA

... extraction based on the PCA dimensionality reduction, overcome the use of single feature extraction of defect to achieve better classification characteristics, the experimental results show that by ... See full document

6

 AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND 
DOCUMENT RANKING

 AN EFFICIENT INFORMATION RETRIEVAL SYSTEM USING QUERY EXPANSION AND DOCUMENT RANKING

... In summary, in this paper we propose a fuzzy estimated and similarity- based self generating algorithm for text classification. It is overcome the low frequency problem, also calculate the ... See full document

12

Neural networks for web news classification based on augmented PCA

Neural networks for web news classification based on augmented PCA

... the text documents with different types of feature ...page classification method (WPCM), which is base on the PCA and class profile-based features ...the PCA has been used to reduce it ... See full document

6

Web news classification using neural networks based on PCA

Web news classification using neural networks based on PCA

... news classification using the ...is based on the combination of the PCA and ...of classification accuracy using the PCA, WPCM, TFIDF, and Bayesian approaches have been presented in this ... See full document

6

Classification of Landsat 8 Imagery Based On Pca And Ndvi Methods

Classification of Landsat 8 Imagery Based On Pca And Ndvi Methods

... urban classification which gives the information about houses, roads, buildings, vegetation ...and classification is very tough task. Generally, Classification of individual pixels in satellite ... See full document

5

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection

... frequency-based algorithm (Luong et ...is based on a wide range of text classifica- tion tasks and datasets with different neural net- works including Convolutional Neural Network (CNN) (Kim, ... See full document

11

Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm

Modified Neural Network Architecture based Expert System for Automated Disease Classification and Detection using PCA Algorithm

... The need of mankind today is ever increasing and it is necessary to support human life with reliable, affordable and sophisticated medical products. One of the areas in which the growth in technology can be fully ... See full document

14

Text Classification and Classifiers: A Comparative Study

Text Classification and Classifiers: A Comparative Study

... Text classification is very helpful in the field of text mining, The volume of electronic information is increase Day by Day and its extracting knowledge from these large volumes of ...The ... See full document

5

Research of liver cancer detection based on improved K NN algorithm

Research of liver cancer detection based on improved K NN algorithm

... effective classification algorithm, k-Nearest Neighbor (K-NN) algorithm is widely used in many ...of classification in Liver Cancer Detection, the Principal Component Analysis (PCA) ... See full document

8

Text Classification based on the Latent Topics of Important Sentences extracted by the PageRank Algorithm

Text Classification based on the Latent Topics of Important Sentences extracted by the PageRank Algorithm

... for text classification, there are many studies which use the PageRank ...constructed based on the words which co-occur within a given window size, ...PageRank-style algorithm to rank words ... See full document

6

The naive Bayes text classification algorithm based on rough set in the cloud platform

The naive Bayes text classification algorithm based on rough set in the cloud platform

... of text preprocessing includes two categories, One is the corpus webpage texts which are collected and artificial categories annotated in advance, using in training and testing stages; the other kind is the ... See full document

8

Automated attendance system using Face recognition

Automated attendance system using Face recognition

... system based on face detection and recognition algorithms, which automatically detects the student when he enter in the class room and marks the attendance by recognizing ...Viola-Jones Algorithm face ... See full document

5

Domain Based Classification of Punjabi Text Documents

Domain Based Classification of Punjabi Text Documents

... different classification techniques From Table 2, it is concluded that on average Ontology (85%) and Hybrid Based Classification (85%) shows better results than standard algorithms, Naive Bayes (64%) ... See full document

8

A Boosting Algorithm for Classification of Semi Structured Text

A Boosting Algorithm for Classification of Semi Structured Text

... Boosting algorithm in which the subtree-based decision stumps are ap- plied as weak ...learning algorithm. We also discuss the relation be- tween our algorithm and SVMs (Boser et ...modality ... See full document

8

A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures

A Boosting-based Algorithm for Classification of Semi-Structured Text using the Frequency of Substructures

... ing five categories: business, entertainment, international, sports, and technology. Table 1 shows the statistics of the Mainichi Shim- bun data set. The training data is 80% of the selected news articles and test and ... See full document

8

A Study On Naive Bayes Text Classification Algorithm Based On Position Weighting

A Study On Naive Bayes Text Classification Algorithm Based On Position Weighting

... The classification precisions of 400, 500 and 600 dimensions are relatively higher and more stable, so we can observe further the position weighting values of 400, 500 and 600 dimensions, and the trends of the ... See full document

6

GLCM and PCA Algorithm based Watermarking Scheme

GLCM and PCA Algorithm based Watermarking Scheme

... Presented for the computer analysis and machine vision, Image Processing Algorithms are the basics fundamentals explained in this paper. Various image processing algorithms are analyzed in this paper by their logical ... See full document

6

PCA-SVM Algorithm for Classification of Skeletal Data-Based Eigen Postures

PCA-SVM Algorithm for Classification of Skeletal Data-Based Eigen Postures

... Wearable sensors such as acceleration, gyroscope were usually used to install with human body for determination of tilt angles related to recognition of human postures. In order to perform recognition systems with these ... See full document

12

Kernel PCA feature extraction and the SVM classification algorithm for multiple status, through wall, human being detection

Kernel PCA feature extraction and the SVM classification algorithm for multiple status, through wall, human being detection

... wall based on the TWRI (through-wall radar imaging) ...were based on the bench- mark PETS 2007 and 83 GB of real footage from three public train ...genetic algorithm to identify the multiple-status ... See full document

7

Time Based Analysis on Anomaly Detection and Classification of Data Stream

Time Based Analysis on Anomaly Detection and Classification of Data Stream

... is text classification of ...K-means algorithm and dynamic threshold optimization are used to detecting the ...In Text classification phase, various text clustering methods like ... See full document

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