source: trunk/packages/vizservers/nanovis/PCASplit.h @ 1049

#ifndef __PCA_SPLIT_H__
#define __PCA_SPLIT_H__

#include <memory.h>
#include "Vector3.h"
#include "Vector4.h"

namespace PCA {

class Point {
public :
        Vector3 position;
        // histogram Index;
        //unsigned char color;
        Vector4 color;
        float size;
    float value;
public :
        Point() : size(1.0f), value(0.0f) {}
};



class Cluster {
public :
        Vector3 centroid;
        Vector4 color;
        float scale;

        int numOfChildren;
        int numOfPoints;
        Point* points;
        Cluster* children;
        unsigned int vbo;
        int level;

public :

        Cluster() : 
            color(1.0f, 1.0f, 1.0f, 1.0f), 
            scale(0.0f), 
            numOfChildren(0), 
            numOfPoints(0),
            points(0), 
            children(0), 
            vbo(0)/*, minValue(0.0f), maxValue(0.0f)*/
            , level(0)
        {
        }

        void setChildren(Cluster* children, int count)
        {
                this->children = children;
                numOfChildren = count;
        }
        void setPoints(Point* points, int count)
        {
                this->points = points;
                numOfPoints = count;
        }
        
};

class ClusterAccel {
public :
        Cluster* root;
        int maxLevel;
        Cluster** startPointerCluster;
        int* numOfClusters;
        unsigned int* _vbo;
public :
        ClusterAccel(int maxlevel) 
                : root(0), maxLevel(maxlevel)
        {
                startPointerCluster = new Cluster*[maxLevel];
                numOfClusters = new int[maxLevel];
                _vbo = new unsigned int[maxLevel];
                memset(_vbo, 0, sizeof(unsigned int) * maxLevel);
        }
};

class Cluster_t {
public :
        Vector3 centroid_t;
        int             numOfPoints_t;
        float   scale_t;
        Point*  points_t;

        Cluster_t() : numOfPoints_t(0), scale_t(0.0f), points_t(0) 
                {}
};

class ClusterListNode {
public :
        Cluster_t* data;
        ClusterListNode* next;
public :
        ClusterListNode(Cluster_t* d, ClusterListNode* n)
                : data(d), next(n)
        {}

        ClusterListNode()
                : data(0), next(0)
        {}
};


class PCASplit {
        enum {
                MAX_INDEX =8000000
        };
private :
        ClusterListNode* _curClusterNode;
        ClusterListNode* _memClusterChunk1;
        ClusterListNode* _memClusterChunk2;
        ClusterListNode* _curMemClusterChunk;

        int _memClusterChunkIndex;

        Cluster* _curRoot;

        int _curClusterCount;
        int _maxLevel;
        float _minDistance;
        float _distanceScale;
        unsigned int* _indices;
        int _indexCount;
        int _finalMaxLevel;

        ClusterAccel* _clusterHeader;
public :
        PCASplit();
        ~PCASplit();
public :
        ClusterAccel* doIt(Point* data, int count);
    void setMinDistance(const float minDistance);
    void setMaxLevel(int maxLevel);

private :       
        void init();
        void analyze(ClusterListNode* cluster, Cluster* parent, int level, float limit);
        void addLeafCluster(Cluster_t* cluster);
        Cluster* createClusterBlock(ClusterListNode* clusterList, int count, int level);
        void split(Point* data, int count, float maxDistortion);
        float getMaxDistortionSquare(ClusterListNode* clusterList, int count);
public :
        static void computeDistortion(Point* data, int count, const Vector3& mean, float& distortion, float& maxSize);
        static void computeCentroid(Point* data, int count, Vector3& mean);
        static void computeCovariant(Point* data, int count, const Vector3& mean, float* m);
};      

inline void PCASplit::setMinDistance(const float minDistance)
{
    _minDistance = minDistance;
}

inline void PCASplit::setMaxLevel(int maxLevel)
{
    _maxLevel = maxLevel;
}

}

#endif