{"title":"High-dimensional Data","authors":"","doi":"10.1017/9781108644181.009","DOIUrl":"https://doi.org/10.1017/9781108644181.009","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123460103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Semi-supervised Clustering and Classification","authors":"","doi":"10.1017/9781108644181.006","DOIUrl":"https://doi.org/10.1017/9781108644181.006","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121509294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model-based Clustering with Covariates","authors":"","doi":"10.1017/9781108644181.012","DOIUrl":"https://doi.org/10.1017/9781108644181.012","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116152405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Discrete Data Clustering","authors":"","doi":"10.1017/9781108644181.007","DOIUrl":"https://doi.org/10.1017/9781108644181.007","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126700207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model-based Clustering: Basic Ideas","authors":"","doi":"10.1017/9781108644181.003","DOIUrl":"https://doi.org/10.1017/9781108644181.003","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127091676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Model-based Classification","authors":"D. Blei","doi":"10.1017/9781108644181.005","DOIUrl":"https://doi.org/10.1017/9781108644181.005","url":null,"abstract":"• A probability model is a joint distribution of a set of observations. • Often, a model is indexed by a parameter. Each value of the parameter gives a different distribution of the data. – The parameter of a Bernoulli is the probability of heads. – The parameters of a Gaussian are its mean and variance. • Many models (but not all) assume the data are independent and identically distributed. N n=1 p (x i | π). (1) Each term is a Bernoulli, p (x n | π) = π 1(x n =h) (1 − π) 1(x n =t) (2) • Suppose we flip a coin N times and record the outcomes. • Further suppose that we think that the probability of heads is π. (This is distinct from whatever the probability of heads \" really \" is.)","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Non-Gaussian Model-based Clustering","authors":"","doi":"10.1017/9781108644181.010","DOIUrl":"https://doi.org/10.1017/9781108644181.010","url":null,"abstract":"","PeriodicalId":324476,"journal":{"name":"Model-Based Clustering and Classification for Data Science","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128910049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}