diff --git a/demo/samples/cec.T.dataset.R b/demo/samples/cec.T.dataset.R
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+#' ---
+#' title: "Pick types of clusters in CEC"
+#' author: ""
+#' date: ""
+#' output:
+#'  html_document:
+#'    self_contained: false
+#' ---
+
+library(gmum.r)
+
+data(cec_ts)
+standard_cluster_param = list(method.type = "standard")
+spherical_cluster_param = list(method.type = "sphere")
+diagonal_cluster_param = list(method.type = 'diagonal')
+
+c <- CEC(x = Tset, k = 4, params.mix = list(standard_cluster_param, spherical_cluster_param, diagonal_cluster_param, diagonal_cluster_param), control.nstart = 100, control.eps=0.09)
+
+plot(c, ellipses = TRUE, centers = TRUE)
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diff --git a/demo/samples/cec.basic.R b/demo/samples/cec.basic.R
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+#' ---
+#' title: "Basic clustering of mouse dataset using CEC"
+#' author: ""
+#' date: ""
+#' output:
+#'  html_document:
+#'    self_contained: false
+#' ---
+
+library(gmum.r)
+
+# Fitting to mouse like dataset
+data(cec_mouse_1_spherical)
+plot(cec.mouse1spherical, main="Mouse-like dataset")
+
+# Fit spherical gaussians to the dataset
+cec <- CEC(k=3, x=cec.mouse1spherical, control.nstart=10, method.type="sphere")
+
+# Plot results
+plot(cec, centers=TRUE, ellipses=TRUE)
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diff --git a/demo/samples/cec.ellipse.R b/demo/samples/cec.ellipse.R
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+#' ---
+#' title: "Fit any gauss family to dataset in CEC"
+#' author: ""
+#' date: ""
+#' output:
+#'  html_document:
+#'    self_contained: false
+#' ---
+
+
+library(gmum.r)
+data(cec_ellipse_gauss)
+
+# Try to fit 5 gaussians to the dataset
+cec <- CEC(k=5, x=cec.ellipsegauss, method.init="random")
+
+# Note that we set 5 cluster. Only 4 was needed.
+plot(cec, centers=TRUE, ellipses=TRUE)
+summary(cec)
+