This paper proposes a method for performing fuzzy multiple discriminant analysis on groups of crisp data and determining the membership function of each group by minimizing the classi.cation error using a genetic algorithm. Euclidean distance is used to measure the similarity between data points and de.ning membership functions. A numerical example is provided for illustration. The numerical ex...

Physicochemical properties of banana peel flour (BPF) were studied in two varieties (Cavendish and Dream) and two stages of ripeness (green and ripe). BPF’s were analyzed for pH, total soluble solids (TSS), water holding capacity (WHC) at 40, 60 and 80C, oil holding capacity (OHC) at 40, 60 and 80C, colour values L, a and b, back extrusion force and viscosity, and the data were analyzed using...

There has been a great effort to transfer linear discriminant techniques that operate on vector data to high-order data, generally referred to as Multilinear Discriminant Analysis (MDA) techniques. Many existing works focus on maximizing the inter-class variances to intra-class variances defined on tensor data representations. However, there has not been any attempt to employ class-specific dis...

• Introduce post hoc tests • Review assumptions and issues of power 1. Planned contrasts (a) Contrasts are the building blocks of most statistical tests: ANOVA, regression, MANOVA, discriminant analysis, factor analysis, etc. We will spend a lot of time on contrasts throughout the year. A contrast is a set of weights (a vector) that defines a specific comparison over scores or means. They are u...

The Hudson Bay Lowlands of Manitoba contain a wide range of vegetation types that re ect local variations in climate, geological history, permafrost, Ž re, wildlife grazing and human use. This study, in Wapusk National Park and the Cape Churchill Wildlife Management Area, uses a Landsat-5 TM image mosaic to examine landscape-level vegetation classes. Field data from 600 sites were Ž rst classi...

As the low-cost video transmission becomes popular, video based bimodal (audio and visual) authentication has great potential in various applications that require access control. It is especially useful for handheld terminals, which are often used under adverse environments, where the signal quality is rather poor. When human voice is used for authentication, one of the most relevant visual fea...

We investigate a Gaussian mixture model (GMM) with component means constrained in a pre-selected subspace. Applications to classification and clustering are explored. An EM-type estimation algorithm is derived. We prove that the subspace containing the component means of a GMM with a common covariance matrix also contains the modes of the density and the class means. This motivates us to find a...