clustrd

R package clustrd. Methods for Joint Dimension Reduction and Clustering. A class of methods that combine dimension reduction and clustering of continuous or categorical data. For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <<a href=”http://dx.doi.org/10.1016/S0167-9473(00)00064-5”>doi:10.1016/S0167-9473(00)00064-5</a>>) and reduced K-means (De Soete and Carroll 1994; <<a href=”http://dx.doi.org/10.1007/978-3-642-51175-2_24”>doi:10.1007/978-3-642-51175-2_24</a>>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <<a href=”http://dx.doi.org/10.1007/s11336-004-1173-x”>doi:10.1007/s11336-004-1173-x</a>>), i-FCB (Iodice D’Enza and Palumbo 2013, <<a href=”http://dx.doi.org/10.1007/s00180-012-0329-x”>doi:10.1007/s00180-012-0329-x</a>>) and Cluster Correspondence Analysis (van de Velden, Iodice D’Enza and Palumbo 2016; <<a href=”http://dx.doi.org/10.1007/s11336-016-9514-0”>doi:10.1007/s11336-016-9514-0</a>>), which combine multiple correspondence analysis with K-means.