선택한 단어 수는 입니다.
최소 단어 이상 선택하여야 합니다.
최소 단어 이상 선택하여야 합니다.
선택한 단어 수는 30입니다.
최대 10 단어까지만 선택 가능합니다.
최대 10 단어까지만 선택 가능합니다.
제안 방법
- it is especially used to estimate the parameters and hidden variable together in probability model with concealed variable and it has a discrimination feature compared to optimized algorithms. Also for a Gaussian mixture model, even if hidden variables in the model not exist originally, this can be expressed by applying the E-M algorithm by modifying a model with hidden variables.
- The data which has the regional information investigates relations between region and radon levels. And the data which has the soil data investigates relations between soil distances and radon levels. it finds out the character of clusters through clustering of regional radon levels and effect of radon levels in the regional also suggested ways to reduce radon levels.
- Almost all platforms can be performed and it performs in Linux, window and Macintosh. It was designed to be the design of existing algorithms to target a new set of data from the user a quick and flexible way. It provides a wide range of support about the entire process of data mining experimentation such as input data preparation, statistical learning scheme evaluation, way to visualize input data and result data.
대상 데이터
- This data has 128 instances and is consisted of Country, The location in home, Average radon pCi/L, GeoMean, Geo S.D and Highest(pCi/L). Attributes of Country having a country name and the location in home having a Basement or 1st Floor are varchar type.
이론/모형
- For this experiment, WEKA is used as a tool developed at the University Wikato. It was developed as Java language and disseminate under general public license of GNU.
- In order to select suitably, this experiment uses maximum likelihood function. It is how to obtain the parameters of the random variable that base on the values sampled from a random variable.
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