A Medoid-based Method for Clustering Categorical Data

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Data Reduction Method for Categorical Data Clustering

Categorical data clustering constitutes an important part of data mining; its relevance has recently drawn attention from several researchers. As a step in data mining, however, clustering encounters the problem of large amount of data to be processed. This article offers a solution for categorical clustering algorithms when working with high volumes of data by means of a method that summarizes...

متن کامل

An Adaptive Partitional Clustering Method for Categorical Attribute Using K-medoid

Abstract— partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The operation is needed in a number of data mining tasks such as unsupervised classification and data summation as well as segmentation of large heterogeneous data sets into smaller homogeneous subsets that can be easily managed, separately modeled and analyzed. Clustering is a pop...

متن کامل

A data labeling method for clustering categorical data

As the size of data growing at a rapid pace, clustering a very large data set inevitably incurs a time-consuming process. To improve the efficiency of clustering, sampling is usually used to scale down the size of data set. However, with sampling applied, how to allocate unlabeled objects into proper clusters is a very difficult problem. In this paper, based on the frequency of attribute values...

متن کامل

A Link Clustering Based Approach for Clustering Categorical Data

$EVWUDFW &DWHJRULFDO GDWD FOXVWHULQJ &'& DQG OLQN FOXVWHULQJ /& KDYH EHHQ FRQVLGHUHG DV VHSDUDWH UHVHDUFK DQG DSSOLFDWLRQ DUHDV 7KH PDLQ IRFXV RI WKLV SDSHU LV WR LQYHVWLJDWH WKH FRPPRQDOLWLHV EHWZHHQ WKHVH WZR SUREOHPV DQG WKH XVHV RI WKHVH FRPPRQDOLWLHV IRU WKH FUHDWLRQ RI QHZ FOXVWHULQJ DOJRULWKPV IRU FDWHJRULFDO GDWD EDVHG RQ FURVV IHUWLOL]DWLRQ EHWZHHQ WKH WZR GLVMRLQW UHVHDUFK ILHOGV 0RUH...

متن کامل

Clustering-Based Categorical Data Protection

The need of improving the privacy on public datasets is becoming more and more important because the number of public available datasets is growing very fast. This forced the continuous research to find better protection methods that prevent the disclosure of the entities or individuals in a dataset while preserving the data utility. In this paper we present a new approach for categorical data ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Artificial Intelligence

سال: 2013

ISSN: 1994-5450

DOI: 10.3923/jai.2013.257.265